Data mining Books
Springer Intelligent Data Engineering and Automated Learning IDEAL 2024
Book Synopsis.- Quantitative Estimation of Reputation Risk..- Dissecting Data Practices in Android Apps: A Comparative Study of Data Collection and Sharing Behaviors..- Model-Based Meta-Reinforcement Learning for Hyperparameter Optimization..- Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization..- Association Rules Mining with Auto-Encoders..- Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers..- Automatic classification of signal and noise in functional magnetic resonance imaging scans using convolutional neural networks..- How Resilient are Language Models to Text Perturbations?..- Emotional Sequential Influence Modeling on False Information..- CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability..- Padel two-dimensional tracking extraction from monocular video recordings..- Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches..- Benchmarking out of the box Open-Source LLMs for Malware Detection based on API Calls sequences..- Multimodal Visio-lingual Content Analysis to Detect Fake Content on Reddit..- MetaLIRS: Meta-learning for Imputation and Regression Selection..- Pipeline for Semantic Segmentation of Large Railway Point Clouds..- Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running..- Efficient Radar Scheduling Using Genetic Algorithms and Stochastic Heuristic Initialization..- Towards a Communication Specification Language for Heterogeneous Service Orchestration based on Process Calculus and Holonic Multi-agent Systems..- Counterfactual Explanations for Sustainable Tourism Indicators..- Tracking Healthy Organs in Medical Scans to Improve Cancer Treatment by Using UW-Madison GI Tract Image Segmentation..- Low consumption models for disease diagnosis in isolated farms..- Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation..- Federated Learning for Vietnamese SMS Spam Detection using Pre-Trained PhoBERT..- Deep Learning Inference on Edge: A Preliminary Device Comparison..- Causal Explanation of Graph Neural Networks..- The contribution of social sciences driven user studies to the development of human-centered artificial intelligence..- Towards Reliable Drift Detection and Explanation in Text Data..- Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets..- Employing Explainable AI techniques for Air Pollution: An ante-hoc and post-hoc approach in dioxide nitrogen forecasting..- Predicting employee attrition in a multi-company setting..- A deep-learning approach for the identification of new subtypes of lung cancer ..- Loss Function Role in Processing Sequences with Heavy-Tailed Distributions..- Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective..- Improving Speech Emotion Recognition: Novel Aggregation Strategies for Self-Supervised Features..- Refining Multiple Instance Learning with Attention Regularization for Whole Slide Image Classification..- Evaluating performance and trustworthiness of RAG systems for generating administrative text..- Blueprint of Tomorrow: Contrasting Off-line and On-line Drawing Tasks for Alzheimer's Disease Screening..- Digital Mental Health Apps: Key Features and User Engagement for Better Wellness..- Automatic PDF Document Classification with Machine Learning..- Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks..- Age-unbiased Facial Emotion Recognition with Regularizing Self-attention Value Vector..- Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models..- Topic modeling in Telegram channels during the Russia-Ukraine conflict..- Structural and Semantic Data Layers in Time Series Analyses.
£66.49
Springer Intelligent Data Engineering and Automated Learning IDEAL 2024
Book Synopsis.- A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-Frame Analysis..- Smart Sign Language Decoder..- Hotel's Price Prediction Based on Country Specific Data..- New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques..- An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes..- Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study..- LeakG3PD: a Python generator and simulated Water Distribution System dataset..- Providing Informative Feedback in a Low-Cost Rehabilitation System using Machine Learning..- Noise tolerance and robustness ranking in Machine Learning models..- A supervised clustering approach to detect similar soccer players..- Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple Travelling Salesman Problem Approach..- Using Data Augmentation For Improving Text Summarization..- Special Session on Predictive and Prescriptive Models for Smart Cities' Applications..- Sustainable demand-responsive transportation: A case study in rural Guimarães..- CLARA: Semi-Automatic Retraining System..- A grid-based approach for ambulance dispatch in critical emergencies within static systems.Optimizing vehicle coordination at multi-lane intersections using traffic control algorithms..- Optimizing Pedestrian Paths to Minimize Exposure to Urban Pollution Through Traffic Data Analysis..- Optimizing UCO Container Placement in Urb. Envs: A GA Approach..- Special Session on Computational intelligence on Renewable Energies and Sustainable Automation..- Data analysis and anomaly detection in a wind farm with k-Nearest Neighbors..- Development of a Database for Convolutional Neural Networks Simulating CFD Analysis..- Special Session on Example-based Explainable Artificial Intelligence.Entity Examples for Explainable Query Target Type Identification with LLMs..Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification.- Special Session on Explainability and Fairness in Decision Support..- Evaluative Customized Naïve Associative Classifier: promoting equity in AI for the selection and promotion of human resources.Clustering of Serious Game Traces using Formal Concept Analysis.LORE4GroupRS: Explaining group recommendations supported by a local rule-based approach..- Special Session on Federated Learning, Intelligent Fusion and Applications (FLIFA).- Comparing MAE and RMSE as fitness of Genetic Algorithm for optimizing Echo State Network hyperparameters with different probabilistic distributions..- Federated Learning with Discriminative Naive Bayes Classifier..- Advances in Home Care and Real-Time Vital Signs Monitoring..- Exploring Data Symbion EI deep learning and model sharing modules..- A New Dataset for Analyzing Battery Failures in Wheelchairs..- A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection..- Multi-Layered Asynchronous Consensus-based Federated Learning (MACoL)..- .- Comparative study of Federated Learning algorithms based on SPADE agents..- Robotic Precision Fitness: Accurate Pose Training for Elderly Rehabilitation..- Special Session on Quantum Computing for Machine Learning and Optimization (Q4ML-Opt)..- Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?..- QUBO Optimization of Electrical Grid Topologies..-Special Session on Anomaly Detection with Machine Learning..- Indecision-aware Deep Active Anomaly Detection..- Special Session on Developing AI Curricula for Pre-University Education..- Educational management as an ensure of high-quality standards, focused on the added value of a public university..- Identification of Areas for Improvement in Digital Pedagogical Competencies through Information Technologies, Communication, and Artificial Intelligence: An Innovative Approach in Teacher Training..- What Students Should Learn and Teachers Must Know about Artificial Intelligence..- Simplification of Image Segmentation and Object Detection Teaching Materials..- Educational Computer Vision Materials for Classification and Tracking of Objects..- Starting point in the introduction of AI in VET: Analysis and proposals in Spain..- Advancing Robotics Education: Integrating Large Language Models for Natural Language .- Programming in VET..- A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in .- Middle Education..- Special Session on Data Selection in Machine Learning (6th Edition)..- Data Mining In Credit Card Approval: Feature Importance as a Comparison..- Special Session on Computational Intelligence for Imbalanced Classification..- 2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI.
£66.49
Springer Big Data and Artificial Intelligence
£64.99
Springer Process Mining Workshops
Book Synopsis.- 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024).- An LLM-based Q&A Natural Language Interface to Process Mining..- One Language to Rule them All: Behavioural Querying of Process Data using SQL..- EVErPREP: Towards an Event Knowledge Graph enhanced Workflow Model for Event Log Preparation..- Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs..- Root Cause Analysis Using Rule Mining on Object-Centric Event Logs..- The Jensen-Shannon Distance Metric for Stochastic Conformance Checking..- A Dynamic Programming Approach for Alignments on Process Trees..- 3rd International Workshop on Education meets Process Mining (EduPM 2024)..- Constructive Alignment in Process Mining..- Understanding Student Behavior using Active Window Tracking and Process Mining..- Measuring Skill Acquisition and Retention: A Case Study of Math Fluency..- Assessing the impact of exam preparation process on students' careers..- Evaluation of Study Plans using Partial Orders..- 3rd International Workshop on COllaboration MINing for Distributed Systems (COMINDS 2024)..- Towards Standardized Modeling of Collaboration Processes in Collaboration Process Discovery..- Revealing One-to-Many Event Relationships in Event Knowledge Graphs..- 5th International Workshop on Leveraging Machine learning in Process Mining (ML4PM 2024)..- On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring..- Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process Monitoring..- Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values..- Differentially Private Event Logs with Case Attributes..- CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring..- CC-HIT: Creating Counterfactuals from High-Impact Transitions..- Multivariate Approaches for Process Model Forecasting..- Enhancing Predictive Process Monitoring using semantic information..- 5th International Workshop on Event Data & Behavioral Analytics (EdbA 2024)..- A Classification of Data Quality Issues in Object-Centric Event Data..- Analyzing the Evolution of Boards in Collaborative Work Management Tools..- Extending Process Intelligence with Quantity-related Process Mining..- Ranking the Top-K Realizations of Stochastically Known Event Logs..- Framework for Extracting Real-World Object-Centric Event Logs from Game Data..- Object-Centric Local Process Models..- Locally Optimized Process Tree Discovery..- A Framework for Advanced Case Notions in Object-Centric Process Mining..- 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2024)..- Predicting Unplanned Hospital Readmissions using Outcome-Oriented Predictive Process Mining (Research Paper)..- Structural and semantic enrichment of models for the interactive discovery of clinical processes..- Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning..- Analysing Disease Trajectories of Multimorbidity through Process Mining Techniques: A Case Study..- Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study..- Case Study: Insights on Prostate Cancer Treatment Pathways using Process Discovery..- 1st International Workshop on Empirical Research in Process Mining (ERPM 2024)..- A Taxonomy for Conformance Checking Visualizations..- Structuring Empirical Research on Process Mining at the Individual Level using the Theory of Effective Use..- Improving Business Processes through Hybrid Simulation Model: A Case Study..- Leveraging Process Mining on the Shop Floor: An Exploratory Study..- Using Facial Expressions to Predict Process Mining Task Performance..- Using Process Mining with Pre- and Post-Intervention Analysis to Improve Digital Service Delivery: A Governmental Case Study..- Towards an Ethogram of Exploratory Process Mining Behavior..- 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM 2024)..- Local Large Language Models for Business Process Modeling..- PM-LLM-Benchmark: Evaluating Large Language Models on Process Mining Tasks..- Terpsichora: a tool to generate synthetic MP-Declare process models..- Process Modeler vs. Chatbot: Is Generative AI Taking Over Process Modeling?..- Skill Learning Using Process Mining for Large Language Model Plan Generation..- Providing domain knowledge for process mining with ReWOO-based agents..- International Workshop on Stream Management & Analytics for Process Mining (SMA4PM 2024)..- Detect & Conquer: Template-Based Analysis of Processes using Complex Event Processing..- Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction..- 1st International Workshop on Process Mining for Sustainability (PM4S 2024)..- Process Mining Guidelines for Greenhouse Gas Emission Management in Production Processes..- Sustainability Analysis Patterns for Process Mining and Process Modelling Approaches..- Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes..- Extending Genetic Process Discovery to Reveal Unfairness in Processes..- Can We Leverage Process Data from ERP Systems for Business Process Sustainability Analyses?..- 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024).- An LLM-based Q&A Natural Language Interface to Process Mining..- One Language to Rule them All: Behavioural Querying of Process Data using SQL..- EVErPREP: Towards an Event Knowledge Graph enhanced Workflow Model for Event Log Preparation..- Representative Sampling in Process Mining: Two Novel Sampling Algorithms for Event Logs..- Root Cause Analysis Using Rule Mining on Object-Centric Event Logs..- The Jensen-Shannon Distance Metric for Stochastic Conformance Checking..- A Dynamic Programming Approach for Alignments on Process Trees..- 3rd International Workshop on Education meets Process Mining (EduPM 2024)..- Constructive Alignment in Process Mining..- Understanding Student Behavior using Active Window Tracking and Process Mining..- Measuring Skill Acquisition and Retention: A Case Study of Math Fluency..- Assessing the impact of exam preparation process on students' careers..- Evaluation of Study Plans using Partial Orders..- 3rd International Workshop on COllaboration MINing for Distributed Systems (COMINDS 2024)..- Towards Standardized Modeling of Collaboration Processes in Collaboration Process Discovery..- Revealing One-to-Many Event Relationships in Event Knowledge Graphs..- 5th International Workshop on Leveraging Machine learning in Process Mining (ML4PM 2024)..- On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring..- Towards Accurate Predictions in ITSM: A Study on Transformer-Based Predictive Process Monitoring..- Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values..- Differentially Private Event Logs with Case Attributes..- CaLenDiR: Mitigating Case-Length Distortion in Deep-Learning-Based Predictive Process Monitoring..- CC-HIT: Creating Counterfactuals from High-Impact Transitions..- Multivariate Approaches for Process Model Forecasting..- Enhancing Predictive Process Monitoring using semantic information..- 5th International Workshop on Event Data & Behavioral Analytics (EdbA 2024)..- A Classification of Data Quality Issues in Object-Centric Event Data..- Analyzing the Evolution of Boards in Collaborative Work Management Tools..- Extending Process Intelligence with Quantity-related Process Mining..- Ranking the Top-K Realizations of Stochastically Known Event Logs..- Framework for Extracting Real-World Object-Centric Event Logs from Game Data..- Object-Centric Local Process Models..- Locally Optimized Process Tree Discovery..- A Framework for Advanced Case Notions in Object-Centric Process Mining..- 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H 2024)..- Predicting Unplanned Hospital Readmissions using Outcome-Oriented Predictive Process Mining (Research Paper)..- Structural and semantic enrichment of models for the interactive discovery of clinical processes..- Research Paper: Enhancing Healthcare Decision-Making with Analogy-Based Reasoning..- Analysing Disease Trajectories of Multimorbidity through Process Mining Techniques: A Case Study..- Predictive Insights for Personalising Esophagogastric Cancer Treatment Process - A Case Study..- Case Study: Insights on Prostate Cancer Treatment Pathways using Process Discovery..- 1st International Workshop on Empirical Research in Process Mining (ERPM 2024)..- A Taxonomy for Conformance Checking Visualizations..- Structuring Empirical Research on Process Mining at the Individual Level using the Theory of Effective Use..- Improving Business Processes through Hybrid Simulation Model: A Case Study..- Leveraging Process Mining on the Shop Floor: An Exploratory Study..- Using Facial Expressions to Predict Process Mining Task Performance..- Using Process Mining with Pre- and Post-Intervention Analysis to Improve Digital Service Delivery: A Governmental Case Study..-&nb
£34.99
Springer Database Engineered Applications
£59.99
Springer ICT Innovations 2024. TechConvergence AI Business and Startup Synergy
Book Synopsis.- Session 1..- Evaluation of vector databases and LLMs in RAG-based multi-document question answering..- Aligning Food Ingredients with Multiple Semantic Resources..- Crossword Generation as a Constraint Satisfaction Problem Using Parallel Processing and Lemmatization..- Session 2..- Comprehensive Examination Of Network Access, Logging, And Auditing Strategies In Public And Private Institutions: Safeguarding Information Security, Resilience, And Compliance In The Digital Era..- Benefits of parallelization in CPU rendering: Quantitative analysis using a custom 3d rendering engine..- Simulation of the Quasigroup Redundancy Check Code’s Ability to Detect Errors..- Session 3..- YOLOv8 Oriented Bounding Box (OBB) Model for Waymo Open Dataset..- Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data..- Transfer Learning with Yolo for Object Detection in Remote Sensing..- Comparison of On-Board and Off-Board processing power consumption for Drone camera images..- Classification of some Cosmological Images using Deep Learning and Persistent Homology..- Session 4..- Mushroom Classification Using Machine Learning..- Towards a framework for promoting student engagement to maximize learning in higher education: A case study..- Session 5..- Blood Oxygen Saturation Estimation Using PPG Signals from the MIMIC-III database..- Novel Methodology for the Pharmacological Mechanisms of Cannabis sativa and Alzheimer’s Disease Through Signaling Pathway Analysis Using Bioinformatics Tools..- Session 6, 7..- AI Cardiologist: Arrhythmia Detection by Transformer-based Language Model..- Ambient Assisted Living Sensor-Based Solution for Elderly Self-Monitoring..- Classification of Autism and Typical Development children based on EEG signals..- NATO Workshop..- Detecting the Unseen: Exploiting Radar-Sonar Sensor Fusion For Visual Detection of Low-Profile Naval Drones..- Evaluating Killer Drone Defense: NATO SPS Project ”Anti-Drones” Field Trials..- STEM Workshop..- Academic Career and Gender Balance Perception of Bachelor Students in Computer Science: A Case Study.
£64.99
Springer Analysis of Images Social Networks and Texts
Book Synopsis.- Keynote and Invited Papers..- KyrgyzNLP: Challenges, Progress, and Future..- Modeling Information Influence and Control in Social Networks: Integrating Opinions, Trust, Reputation, and Agent Dynamics..- Natural Language Processing..- Graphical Abbreviation Disclosure in Russian Language..- Iterative Improvement of an Additively Regularized Topic Model..- Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases..- Shrink the longest: improving latent space isotropy with simplicial geometry..- Redefining Annotation Practices: Leveraging Large Language Models for Discourse Annotation..- GERA: a corpus of Russian school texts annotated for Grammatical Error Correction..- From Tokens to Tales: Semantic Similarity in Story Generation..- Cross-Language Summarization in Russian and Chinese Using the Reinforcement Learning..- Computer Vision..- Temporal Modeling via TCN and Transformer for Audio-Visual Emotion Recognition..- YOLO-HTR: Page-Level Recognition of Historical Handwritten Document Collections..- Data Analysis and Machine Learning..- An optimal set of implications in triadic contexts..- Uniting contrastive and generative learning for event sequences models..- Theoretical Machine Learning and Optimization..- An asymptotically optimal algorithm for the minimum weight spanning tree with arbitrarily bounded diameter on random inputs..- Automatic Adaptive Conformal Inference for Time Series Forecasting.
£141.55
Springer Applied Computational Intelligence Informatics and Big Data
Book SynopsisIntelligent Computing and Big Data Modeling.- A New Power System Prediction Model Based on Expert System.- Application of Big Data Technology in Time-Frequency Data Management and Diagnosis.- Improving Generalization for Missing Data Imputation Via Dual Corruption Denoising Autoencoders.- Remote Intelligent Inspection Method of Man-Machine Interactive Computer Room Based on Digital Twin Technology.- Analysis of College Students’ Achievement Based on Data Mining.- Bridge Structure Health Assessment Algorithm Based on Heterogeneous Sensor Data Fusion Simulation.- The Volatility Prediction and Option Pricing Model of Correction Bias.- Attention-based Link Prediction with Contextualized Self-Supervision.- Intelligent System Design and Information Processing.- Lightweight MES System Research and Practice –A Medium-sized Discrete Manufacturing Enterprise as An Example.- A Genetic Deep Reinforcement Learning Approach with Prioritized Experience Replay Strategy to Solve the Influence Maximization Problem on Networks.- Continual Knowledge Graph Embedding by Structural Feature Distillation.- TZRT-RPC: A Hybrid Multi-OS Real-Time Communication Scheme Based on TrustZone.- Product Feature and Emotional Polarity Identification Method Based on ABSA Technology.- Development of an Intelligent Inspection and Analysis System for Special Equipment Report Sampling.- Cultural Digital Assets in the Metaverse.- Statistical Research of Medieval Phonology in Dunhuang Dialect.- A Runtime Design of WebAssembly Container for Embedded Real-time Operating Systems.- GraphModo: An Easy-to-Use Visual Construction System of Deep Learning Model.
£75.99
Springer Bisociative LiteratureBased Discovery
Book Synopsis1. Introduction.- 2. History, Resources and Tools.- 3. Background Technologies.- 4. Benchmark Data and Reusable Python Code.- 5. Text Mining for Closed Discovery.- 6. Outlier-based Closed Discovery.- 7. Semantic and Outlier-based Open Discovery.- 8. Network-based Closed Discovery.- 9. Embedding-based Closed Discovery.- 10. Research Trends and Lessons Learned.
£132.99
Springer Computational Intelligence in Data Science
Book Synopsis.- Computer Vision for Real World Applications..- AgriGuardNet: A Unified Approach to Plant Disease and Pest Detection..- Advanced Plant Disease and Pest Detection for Sustainable Agriculture..- Design of a unified framework for Automatic Detection of FOD (Foreign Object Debris) in Airport Runways..- A Low-Cost Vision-Based Framework for Autonomous Driving Using YOLO, MiDaS, and Stereo Vision..- A Secure System to Detect Animal Intrusion and Notify Users in a Farmland..- The Synergy of Federated Learning and IoT: Pioneering Privacy and Efficiency in Decentralised Systems..- Multi-Class Diagnosis of Ocular Diseases in Fundus Images using Fine-Tuned EfficientNetV2B3 Model with Self-Attention..- SMARTSPICEVISION: Revolutionizing Spice Authentication for Enhanced Detection, Grading, and Quality Control..- Deep Learning-Based Comparative Analysis for Endometriosis Classification..- Kidney Stone Detection in CT Scans: A Hybrid Approach with Machine Learning and Deep Learning..- Efficient Yoga Pose Classification Using Deep Neural Networks..- AI-Driven Multi-modal Story Generator by Integrating Image Understanding with Creative Narrative Generation Using Gemini and OpenAI APIs..- CureFinder - A Smart Health Care Aide for Predictive Analysis of Disease..- Eyesight: Integrative AI For Non-Invasive Diabetic Retinopathy Detection Using Pupillometry and Ensemble Deep Learning..- Topple-Net: A Modified U-Net Architecture for Classification of Diseased Tomato and Apple Leaves in Uncontrolled Environments..- Revolutionizing Seed Plant Classification: CNN Approaches For Enhanced Accuracy..- Emerging Trends in AI for Speech and Text..- Multiactivity Agent Using LLM For YouTubers..- Speech to Text Recognition by Machine Learning..- Hope Speech Detection and Classification Using Machine Learning and Deep Learning Techniques..- AI to conquer Stage fright..- Voice Unlocked: Transforming Speech Therapy for Special Children with VR and Gesture Animation..- Deep Learning Enhanced Suicidal Detection in Social Media..- Predicting Diseases from Symptoms Using Machine Learning Models and Open AI..- Transforming Lives: AIoT-Driven Deep Learning for Real- Time Speech Assistance for the Ophthalmologically Impaired..- Integrating A-LSTM with XGBoost for Improved Crop Price Prediction..- Experimenting AI-Driven Haiku Generation through Reinforcement Learning and User Feedback..- Comparative Insights into Modern Architectures for Paraphrase Detection..- Speech Emotion Detection for Tamil Language: Performance Evaluation of Deep Learning Models..- Enhancing Cardiac Pathosis Evaluation Bot: An AI-Powered Multimodal Approach for Risk Assessment.
£170.99
Springer Data Analytics and Management in Data Intensive Domains
Book Synopsis.- Conceptual Modeling and Ontologies..- An Approach to Information Security Domain Analysis for Building a Research Infrastructure..- Approach to Developing a Machine Learning Ontology..- Metagraph Operations using Bigraph Representation..- Ontology and Knowledge Graph of Mathematical Physics in the Semantic Library MathSemanticLib..- Data Quality Assessment in Large Spectral Data Collections. States and Transitions..- Generative and Transformer-Based Models..- Explaining Transformer-Based Models: a Comparative Study of flan-T5 and BERT Using Post-Hoc Methods..- Exploring Fine-Tuned Generative Models for Keyphrase Selection: A Case Study for Russian..- Applying Generative Neural Networks to Extract Argument Relations from Scientific Communication Texts..- An Experimental Study on Cross-Domain Transformer-Based Term Recognition for Russian..- On Open Datasets for LLM Adversarial Testing..- An LLM Approach to Fixing Common Code Issues in Machine Learning Projects..- Machine Learning Methods and Applications..- Verifying Factographic Content in Narrative Texts..- Decoding the Past: Building a Comprehensive Glagolitic Dataset for Historical Text Analysis..- Real-Bogus Classification for ZTF Data Releases: Two Approaches..- Prospects for the Use of Artificial Intelligence for Hydrometeorology..- Statistical Methods and Applications..- Model for Assessing the Need to Involve Users of Social Networks in a Healthy LifeStyle and Giving up Bad Habits According to the Data of a Social Network..- Exploring Patterns of Information Literacy Development in Schools: Application of Multilevel Latent Class Analysis to School Students Survey Data..- Development and Implementation of Software Application for Comparative Analysis of the Estimates of the Complexity of Text Data..- bXES: a Binary Format for Storing and Transferring Software Event Logs.
£59.99
Springer Database Engineered Applications
Book SynopsisLanguage and Models.- Generative Adversarial Networks Reveal Relationship of the Carian, Elder Futhark, Old Hungarian and Orkhon Scripts.- EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare.- Automated Glyph Feature Detection Using Convolutional Neural Networks.- A Vision for Robust and Human-Centric LLM-Based QR Code Security.- Classification.- Exploring Classification with Spectral Transformation.- Optimizing Classification Accuracy with Simulated Annealing in k-Anonymity.- Predicting Gelation in Copolymers Using Deep Learning through a Comparative Study of ANN, CNN, and LSTM Models with SHAP Explainability.- A Total Variation Regularized Framework for Epilepsy-Related MRI Image Segmentation.- Enhancing Flight Delay Prediction with Network-Aware Ensemble Learning.- Distributed Systems.- FedMod: Vertical Federated Learning Using Multi-Server Secret Sharing.- Throughput-Driven Database Replication Using a Ring-Based Order Protocol.- Blockchain-Backed Fuzzy Search for Semi-Structured Translation Data: A Scalable Hybrid Approach with Hyperledger Fabric and Elasticsearch.- Query Answering and Education.- Towards Sustainable DBMS: A Framework for Real-Time Energy Estimation and Query Categorization.- Context-Aware Visualization for Explainable AI Recommendations in Social Media: A Vision for User-Aligned Explanations.- Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI.- Analyzing Student Feedback to Assess NoSQL Education.- Data Mining.- Data Mining for Language Superfamilies Using Congruent Sound Groups.- Computational Decipherment and Cross-Linguistic Analysis of Linear.- Automated Identification of Allographs among the Indus Valley Script Signs.
£64.99
Springer Nature Switzerland AG Advances in Artificial Intelligence and Machine Learning in Big Data Processing
£75.99
Springer Nature Switzerland AG Proceedings of World Conference on Artificial Intelligence Advances and Applications
£208.99
Springer Nature Switzerland AG Proceedings of World Conference on Artificial Intelligence Advances and Applications
£208.99
De Gruyter Mathematical Foundations of Data Science Using R
Book SynopsisThe aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to accompany students from the beginning to an advanced understanding of the knowledge and skills that define a modern data scientist. The book presents a comprehensive overview of the mathematical foundations of the programming language R and of its applications to data science.
£72.68
Springer International Publishing AG Data Preprocessing in Data Mining
Book SynopsisData Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducing the complexity of the data, detecting or removing irrelevant and noisy elements from the data.This book is intended to review the tasks that fill the gap between the data acquisition from the source and the data mining process. A comprehensive look from a practical point of view, including basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed descriptions of classical algorithms, to an incursion of an exhaustive catalog of recent developments. The in-depth technical descriptions make this book suitable for technical professionals, researchers, senior undergraduate and graduate students in data science, computer science and engineering.Trade ReviewFrom the book reviews:“This book is a comprehensive collection of data preprocessing techniques used in data mining. Any readers who practice data mining will find it beneficial … . This book is an excellent guideline in the topic of data preprocessing for data mining. It is suitable for both practitioners and researchers who would like to use datasets in their data mining projects.” (Xiannong Meng, Computing Reviews, December, 2014)Table of ContentsIntroduction.- Data Sets and Proper Statistical Analysis of Data Mining Techniques.- Data Preparation Basic Models.- Dealing with Missing Values.- Dealing with Noisy Data.- Data Reduction.- Feature Selection.- Instance Selection.- Discretization.- A Data Mining Software Package Including Data Preparation and Reduction: KEEL.
£151.99
Wiley-VCH Verlag GmbH Excel Datenanalyse für Dummies
Book SynopsisSie haben manchmal den Eindruck, Sie ertrinken in Daten? Kennen Sie schon die großartigen Datenanalysewerkzeuge von Excel? Stephen L. Nelson und Elizabeth C. Nelson zeigen Ihnen, wie Sie zu Ihren Daten PivotTables und PivotCharts erstellen, welche Excel-Funktionen zu Statistik und Finanzwesen es gibt und wie Sie Excel mit Daten aus externen Datenbanken nutzen. Erfahren Sie endlich, was all die vermeintlich todlangweiligen Zahlen wirklich zu bedeuten haben. Mit diesem Buch können Sie die Verarbeitung der Daten Excel überlassen und Ihre Zeit wieder für echte Einsichten und Entscheidungen nutzen.Table of ContentsÜber den Autor 7 Einführung 21 Über dieses Buch 21 Was Sie problemlos ignorieren können 21 Was Sie nicht ignorieren sollten (es sei denn, Sie sind ein Masochist) 22 Törichte Annahmen über den Leser 22 Wie dieses Buch aufgebaut ist 23 Icons in diesem Buch 24 Beispieldateien zum Buch 24 Wie es weitergeht 24 Teil I Erste Schritte bei der Datenanalyse 25 Kapitel 1 Grundlagen von Excel-Tabellen 27 Was ist eine Tabelle und was hat sie mit mir zu tun? 27 Tabellen erstellen 30 Export aus einer Datenbank 30 Eine Tabelle auf die harte Tour erstellen 30 Eine Tabelle auf die weniger harte Tour erstellen 30 Daten in Tabellen analysieren 34 Einfache statistische Auswertungen 34 Tabellendaten sortieren 36 Eine Tabelle mit einem AutoFilter filtern 38 Filter entfernen 41 Den AutoFilter deaktivieren 41 Einen benutzerdefinierten AutoFilter verwenden 41 Eine gefilterte Tabelle filtern 44 Spezialfilter verwenden 44 Kapitel 2 Daten aus externen Quellen abrufen 49 Die Daten über die Variante Export/Import erhalten 49 Exportieren: Der erste Schritt 49 Importieren: Der zweite Schritt (falls erforderlich) 55 Externe Datenbanken und Tabellen auf Webseiten abrufen 64 Eine Webabfrage verwenden 64 Eine Datenbanktabelle importieren 67 Eine externe Datenbank abfragen 69 Die rohen Daten kochen 76 Kapitel 3 Daten säubern 77 Ihre importierte Arbeitsmappe bearbeiten 77 Unnötige Spalten löschen 77 Unnötige Zeilen löschen 78 Spaltenbreite anpassen 78 Zeilenhöhe anpassen 81 Nicht benötigte Zellinhalte löschen 81 Numerische Werte formatieren 82 Arbeitsblattdaten kopieren 83 Arbeitsblattdaten verschieben 83 Daten in Feldern ersetzen 83 Daten mit den Textfunktionen aufräumen 84 Na, und? 84 Die Antwort auf einige Ihrer Probleme 86 Die Funktion ERSETZEN 86 Die Funktion FEST 87 Die Funktion FINDEN 87 Die Funktion GLÄTTEN 88 Die Funktion GROSS 88 Die Funktion GROSS2 88 Die Funktion IDENTISCH 89 Die Funktion KLEIN 89 Die Funktion LÄNGE 89 Die Funktion LINKS 90 Die Funktion RECHTS 90 Die Funktion SÄUBERN 90 Die Funktion SUCHEN 91 Die Funktion T 91 Die Funktion TEIL 91 Die Funktion TEXT 92 Die Funktion VERKETTEN 92 Die Funktion WECHSELN 93 Die Funktion WERT 94 Die Funktion WIEDERHOLEN 94 Die Ergebnisse der Textfunktionen in Text konvertieren 94 Mit Gültigkeitsprüfungen für korrekte Daten sorgen 95 Teil II PivotTables und PivotCharts 99 Kapitel 4 PivotTables verwenden 101 Aus unterschiedlichen Perspektiven einen Blick auf die Daten werfen 101 Vorbereitungen für das Pivotieren 102 Den PivotTable-Assistenten verwenden 103 Mit der PivotTable herumspielen 109 Pivotieren und erneut pivotieren 109 PivotTable-Daten filtern 110 Einen Datenschnitt oder eine Zeitachse verwenden 112 PivotTable-Daten aktualisieren 113 PivotTable-Daten sortieren 114 Pseudosortierung 116 Datenelemente gruppieren und deren Gruppierung aufheben 117 Dies auswählen, jenes auswählen 119 Wo kommen die Zahlen dieser Zelle her? 119 Die Wertfeldeinstellungen festlegen 120 Festlegen, wie PivotTables aussehen und funktionieren 122 PivotTable-Optionen konfigurieren 122 Kapitel 5 PivotTable-Formeln erstellen 133 Eine weitere Standardberechnung hinzufügen 133 Berechnungsoptionen erstellen 137 Berechnete Felder und Elemente verwenden 142 Ein berechnetes Feld einfügen 142 Ein berechnetes Element hinzufügen 145 Berechnete Felder und Elemente entfernen 148 Die Formeln für berechnete Felder und Elemente überprüfen 149 Die Lösungsreihenfolge ansehen und ändern 150 Daten aus einer PivotTable abrufen 152 Alle Werte einer PivotTable abrufen 152 Einen Wert aus einer PivotTable abrufen 153 Argumente der Funktion PIVOTDATENZUORDNEN 154 Kapitel 6 PivotCharts verwenden 157 Warum sollte ich ein PivotChart verwenden? 157 Vorbereitungen für das Pivotieren 158 Den PivotChart-Assistenten einsetzen 159 Mit dem PivotChart herumspielen 164 Pivotieren und erneut pivotieren 164 PivotChart-Daten filtern 165 PivotChart-Daten aktualisieren 168 Datenelemente gruppieren und deren Gruppierung aufheben 169 Mit den Diagrammbefehlen PivotCharts erstellen 171 Kapitel 7 PivotCharts anpassen 173 Einen Diagrammtyp wählen 173 Diagrammformatvorlagen verwenden 174 Das Diagrammlayout ändern 174 Diagrammtitel und Achsentitel 174 Diagrammlegende 177 Datenbeschriftungen 178 Diagrammdatentabelle 180 Diagrammachsen 181 Diagrammgitternetzlinien 183 Ein Diagramm verschieben 183 Die Zeichnungsfläche formatieren 185 Den Diagrammbereich formatieren 186 Füllmuster für das Diagramm 186 Diagrammschriften formatieren 187 3D-Diagramme formatieren 187 Die Wände eines 3D-Diagramms formatieren 187 Den Befehl »3D-Drehung« verwenden 187 Teil III Fortgeschrittene Werkzeuge 189 Kapitel 8 Die Datenbankfunktionen verwenden 191 Schneller Überblick zu Funktionen 191 Die Syntaxregeln von Funktionen 192 Eine Funktion manuell eingeben 192 Eine Funktion mit dem Funktionsassistenten eingeben 193 Die Funktion DBMITTELWERT verwenden 198 Die Funktionen DBANZAHL und DBANZAHL2 verwenden 201 Die Funktion DBAUSZUG verwenden 203 Die Funktionen DBMAX und DBMIN verwenden 205 Die Funktion DBPRODUKT verwenden 206 Die Funktionen DBSTDABW und DBSTDABWN verwenden 207 Die Funktion DBSUMME verwenden 209 Die Funktionen DBVARIANZ und DBVARIANZEN verwenden 210 Kapitel 9 Die statistischen Funktionen verwenden 213 Elemente eines Datasets zählen 213 ANZAHL: Zellen mit Werten zählen 213 ANZAHL2: Alternative Zählweise von Zellen mit Werten 215 ANZAHLLEEREZELLEN: Leere Zellen zählen 215 ZÄHLENWENN: Zellen zählen, die Bedingungen entsprechen 215 ZÄHLENWENNS: Zellen zählen, die Bedingungen entsprechen 216 VARIATIONEN und VARIATIONEN2: Permutationen zählen 216 KOMBINATIONEN: Kombinationen zählen 217 Mittelwert, Modus und Median 217 MITTELABW: Durchschnittliche absolute Abweichung 217 MITTELWERT: Arithmetisches Mittel 218 MITTELWERTA: Alternative Berechnung des Durchschnitts 218 MITTELWERTWENN und MITTELWERTWENNS: Wählerische Durchschnitte 219 GESTUTZTMITTEL: Den Mittelwert stutzen 220 MEDIAN: Den Median berechnen 221 MODUS: Den Modalwert berechnen 221 GEOMITTEL: Geometrisches Mittel 222 HARMITTEL: Harmonisches Mittel 222 Werte, Ränge und Quantile 222 MAX: Der größte Wert 223 MAX2: Alternative Berechnung des größten Werts 223 MIN: Der kleinste Wert 223 MIN2: Alternative Berechnung des kleinsten Werts 223 KGRÖSSTE: Den k-größten Wert ermitteln 224 KKLEINSTE: Den k-kleinsten Wert ermitteln 224 RANG, RANG.MITTELW und RANG.GLEICH: Den Rang eines Arraywerts bestimmen 224 QUANTILSRANG.EXKL und QUANTILSRANG.INKL: Den Quantilsrang bestimmen 226 QUANTIL.EXKL und QUANTIL.INKL: Einen bestimmten Quantilsrang finden 226 QUARTILE.EXKL und QUARTILE.INKL: Einen bestimmten Quartilsrang finden 227 HÄUFIGKEIT: Häufigkeitsverteilung ermitteln 228 WAHRSCHBEREICH: Wahrscheinlichkeit von Werten 230 Standardabweichungen und Varianzen 231 STABW.S: Standardabweichung einer Stichprobe 231 STABWA: Alternative Berechnung der Standardabweichung einer Stichprobe 232 STABW.N: Standardabweichung einer Grundgesamtheit 232 STABWNA: Alternative Berechnung der Standardabweichung einer Grundgesamtheit 233 VAR.S: Varianz einer Stichprobe 233 VARIANZA: Alternative Varianz 234 VAR.P: Varianz einer Grundgesamtheit 234 VARIANZENA: Alternative Berechnung der Varianz einer Grundgesamtheit 234 KOVARIANZ.P und KOVARIANZ.S: Kovarianzen 234 SUMQUADABW: Summe der quadrierten Abweichungen 235 Normalverteilungen 235 NORM.VERT: Wahrscheinlichkeit, dass X auf oder unter einen bestimmten Wert fällt 235 NORM.INV: X, das einer angegebenen Wahrscheinlichkeit entspricht 236 NORM.S.VERT: Wahrscheinlichkeit, dass eine Variable innerhalb von z-Standardabweichungen liegt 237 NORM.S.INV: Quantil ermitteln, das einer vorgegebenen Wahrscheinlichkeit entspricht 237 STANDARDISIERUNG: Z-Wert für einen angegebenen Wert 238 KONFIDENZ: Konfidenzintervall für den Mittelwert einer Grundgesamtheit 238 KURT: Kurtosis 239 SCHIEFE und SCHIEFE.P: Schiefe einer Verteilung 240 GAUSS: Wahrscheinlichkeit, dass ein Wert in einen Bereich fällt 240 PHI: Dichtefunktion einer Standardnormalverteilung 240 t-Verteilungen 241 T.VERT: Linksseitige Student-t-Verteilung 241 T.VERT.RE: Rechtsseitige t-Verteilung 241 T.VERT.2S: t-Verteilung für zwei Endflächen 242 T.INV: Linksseitiges Quantil der t-Verteilung 242 T.INV.2S: Zweiseitiges Quantil der t-Verteilung 242 T.TEST: Wahrscheinlichkeit, dass zwei Stichproben aus Grundgesamtheiten mit demselben Mittelwert stammen 243 F-Verteilungen 243 F.VERT: Wahrscheinlichkeit der linksseitigen F-Verteilung 243 F.VERT.RE: Wahrscheinlichkeit der rechtsseitigen F-Verteilung 244 F.INV: Linksseitiger F-Wert für die Wahrscheinlichkeit einer F-Verteilung 244 F.INV.RE: Rechtsseitiger F-Wert für die Wahrscheinlichkeit einer F-Verteilung 244 F.TEST: Wahrscheinlichkeit, dass sich die Varianzen signifikant unterscheiden 245 Binomialverteilungen 245 BINOM.VERT: Wahrscheinlichkeit bei Binomialverteilungen 245 BINOM.INV: Wahrscheinlichkeit bei Binomialverteilungen 246 BINOM.VERT.BEREICH: Binomialwahrscheinlichkeit eines Versuchsergebnisses 246 NEGBINOM.VERT: Negative Binomialverteilung 247 KRITBINOM: Kumulierte Wahrscheinlichkeiten der Binomialverteilung 248 HYPGEOM.VERT: Hypergeometrische Verteilung 248 Chi-Quadrat-Verteilungen 249 CHIQU.VERT.RE: Chi-Quadrat-Verteilung 249 CHIQU.VERT: Chi-Quadrat-Verteilung 250 CHIQU.INV.RE: Perzentile der rechtsseitigen Chi-Quadrat-Verteilung 251 CHIQU.INV: Perzentile der linksseitigen Chi-Quadrat-Verteilung 251 CHIQU.TEST: Chi-Quadrat-Test 251 Regressionsanalyse 252 PROGNOSE.LINEAR: Abhängige Variable unter Verwendung der Ausgleichsgeraden schätzen 252 PROGNOSE.ETS: Zukünftige Werte mit einer exponentiellen Glättungsmethode schätzen 253 ACHSENABSCHNITT: Gerade schneidet die y-Achse 254 RGP 255 STEIGUNG: Steigung einer Regressionsgeraden 255 STFEHLERYX: Standardfehler 255 TREND: Linearer Trend 255 RKP: Exponentielle Regression 256 VARIATION: Exponentielle Variation 256 Korrelation 256 KORREL: Korrelationskoeffizient 256 PEARSON: Pearson-Korrelationskoeffizient 257 BESTIMMTHEITSMASS: Quadrat des Pearsonschen Korrelationskoeffizienten 257 FISHER 257 FISHERINV 257 Einige ziemlich ausgefallene Wahrscheinlichkeitsverteilungen 258 BETA.VERT: Kumulierte Verteilungsfunktion der Betaverteilung 258 BETA.INV: Quantil der Betaverteilung einer Zufallsvariablen 258 EXPON.VERT: Wahrscheinlichkeiten für exponentialverteilte Zufallsvariable 259 GAMMA: Wert der Gammafunktion 259 GAMMA.VERT: Wahrscheinlichkeiten für gammaverteilte Zufallsvariable 260 GAMMA.INV: × für eine angegebene Wahrscheinlichkeit bei einer Gammaverteilung 260 GAMMALN und GAMMALN.GENAU: Natürlicher Logarithmus der Gammafunktion 260 LOGNORM.VERT: Wahrscheinlichkeiten für lognormalverteilte Zufallsvariablen 261 LOGNORM.INV: Quantile der Lognormalverteilung 261 POISSON.VERT: Wahrscheinlichkeiten einer Poissonverteilung 261 WEIBULL.VERT: Weibullverteilung 262 G.TEST: Wahrscheinlichkeit für einen Gauß-Test 262 Kapitel 10 Deskriptive Statistik 263 Populationskenngrößen ermitteln 264 Histogramm erstellen 268 Rang und Quantilsrang berechnen 271 Gleitenden Durchschnitt berechnen 274 Exponentielles Glätten 276 Zufallszahlen erzeugen 279 Stichproben ziehen 280 Kapitel 11 Mathematische Statistik 285 Das Datenanalysewerkzeug Zweistichproben t-Test verwenden 286 Das Datenanalysewerkzeug Gauß-Test verwenden 289 Ein Streudiagramm (Punktdiagramm) erstellen 291 Das Analysewerkzeug Regression verwenden 295 Das Analysewerkzeug Korrelation verwenden 298 Das Analysewerkzeug Kovarianz verwenden 300 Die ANOVA-Analysetools verwenden 301 Einen Zwei-Stichproben F-Test durchführen 303 Die Fourieranalyse verwenden 303 Kapitel 12 Modelloptimierung mit Solver 305 Modelloptimierung verstehen 306 Optimieren Sie Ihren Gewinn 306 Nebenbedingungen erkennen 306 Ein Solver-Arbeitsblatt einrichten 307 Ein Modelloptimierungsproblem lösen 311 Die Solver-Berichte durchsehen 316 Der Antwortbericht 316 Der Sensitivitätsbericht 318 Der Grenzwertbericht 319 Weitere Hinweise zu den Solver-Berichten 320 Die Solver-Optionen 321 Die Registerkarte »Alle Methoden« verwenden 322 Die Registerkarte »GRG-Nichtlinear« verwenden 323 Die Registerkarte »EA (Evolutionärer Algorithmus)« verwenden 325 Modellinformationen speichern und wiederverwenden 326 Die Solver-Fehlermeldungen verstehen 327 Solver hat eine Lösung gefunden 327 Solver hat die aktuelle Lösung durch Konvergieren erreicht 328 Solver kann die aktuelle Lösung nicht verbessern 328 Solver wurde beim Erreichen der Höchstzeit abgebrochen 328 Solver wurde auf Anforderung des Benutzers abgebrochen 328 Solver wurde beim Erreichen der Iterationsgrenze abgebrochen 328 Die Werte der Zielzelle konvergieren nicht 329 Solver konnte keine realisierbare Lösung finden 329 Die für diesen LP Solver erforderlichen Linearitätsbedingungen sind nicht erfüllt 329 Das Problem ist für die Verarbeitung durch Solver zu groß 329 Fehlerwert bei Solver in der Zielzelle oder einer Nebenbedingungszelle 330 Es ist nicht genügend Arbeitsspeicher zur Lösung des Problems verfügbar 330 Fehler im Modell. Überprüfen Sie, ob alle Zellen und Nebenbedingungen gültig sind 330 Teil IV Der Top-Ten-Teil 331 Kapitel 13 Zehn Dinge, die Sie über Statistik wissen sollten 333 Beschreibende Statistiken sind unkompliziert 333 Durchschnitte sind nicht immer einfach 334 Standardabweichungen beschreiben die Streuung 335 Eine Beobachtung ist eine Beobachtung 336 Eine Stichprobe ist eine Untermenge von Werten 336 Induktive Statistik ist cool, aber auch kompliziert 337 Wahrscheinlichkeitsverteilungsfunktionen sind nicht immer kompliziert 338 Gleichverteilung 338 Normalverteilung 339 Parameter sind nicht so kompliziert 340 Die Schiefe und die Wölbung beschreiben die Form der Wahrscheinlichkeitsverteilung 341 Konfidenzintervalle scheinen auf den ersten Blick kompliziert zu sein, sie sind jedoch nützlich 341 Kapitel 14 Fast zehn Tipps für die Präsentation von Tabellenergebnissen und die Analyse von Daten 343 Geben Sie sich beim Import der Daten Mühe 343 Entwerfen Sie Informationssysteme so, dass sie aussagekräftige Daten produzieren 344 Vergessen Sie die externen Datenquellen nicht! 345 Addieren Sie! 345 Erkunden Sie immer die beschreibenden Statistiken 346 Achten Sie auf Trends 346 Kreuztabellierung 347 Diagramme, bitte! 347 Hüten Sie sich vor induktiver Statistik 347 Kapitel 15 Zehn Tipps zur visuellen Analyse und Präsentation von Daten 349 Finden Sie den passenden Diagrammtyp 349 Verwenden Sie die Botschaft Ihres Diagramms als Diagrammtitel 351 Seien Sie bei Kreisdiagrammen auf der Hut 352 Erwägen Sie bei kleinen Datasets den Einsatz von PivotCharts 352 Vermeiden Sie 3D-Diagramme 354 Verwenden Sie niemals 3D-Kreisdiagramme 356 Achten Sie auf falsche Datenmarkierungen 357 Verwenden Sie logarithmische Skalen 358 Vergessen Sie das Experimentieren nicht 360 Besorgen Sie sich Tufte 360 Glossar zur Datenanalyse und zu Excel 361 Stichwortverzeichnis 369
£999.99
Wiley-VCH Verlag GmbH TensorFlow für Dummies
Book SynopsisTensorFlow ist Googles herausragendes Werkzeug für das maschinelle Lernen, und dieses Buch macht es zugänglich, selbst wenn Sie bisher wenig über neuronale Netze und Deep Learning wissen. Sie erfahren, auf welchen Prinzipien TensorFlow basiert und wie Sie mit TensorFlow Anwendungen 1.0 schreiben. Gleichzeitig lernen Sie die Konzepte des maschinellen Lernens kennen. Wenn Sie Softwareentwickler sind und TensorFlow in Zukunft einsetzen möchten, dann ist dieses Buch der richtige Einstieg für Sie. Greifen Sie auch zu, wenn Sie einfach mehr über das maschinelle Lernen erfahren wollen.Trade Review"... Das Buch versteht sich als Einführung in TensorFlow als vielseitig einsetzbares universelles Werkzeug mit den Schwerpunkten Bilderkennung und Textanalyse, das sich aus zahlreichen sog. Klassen aufbaut. ..." (EKZ im Dezember 2018)
£999.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Data Matching: Concepts and Techniques for Record
Book SynopsisData matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases.Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today.By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.Trade Review"The book is very well organized and exceptionally well written. Because of the depth, amount, and quality of the material that is covered, I would expect this book to be one of the standard references in future years." William E. Winkler, U.S. Bureau of the Census, Washington, DC, USATable of ContentsPart I Overview.- Introduction.- The Data Matching Process.- Part II Steps of the Data Matching Process.- Data Pre-Processing.- Indexing.- Field and Record Comparison.- Classification.- Evaluation of Matching Quality and Complexity.- Part III Further Topics.- Privacy Aspects of Data Matching.- Further Topics and Research Directions.- Data Matching Systems.
£113.99
Mindspeaking People Skills for Analytical Thinkers
£14.99
Globeedu Group Data Security and Analytics in Modern Cyber Defense
£17.95
Helsinki University Press Digital Histories: Emergent Approaches within the New Digital History
£36.38
Springer Computational Structural Behavior
£113.99
Springer-Verlag GmbH Neural Information Processing
£75.99
Springer-Verlag GmbH Neural Information Processing
£66.49
Springer Knowledge and Systems Sciences
Book Synopsis.- Complex Networks and Modeling ..- The Temporal Structural Pattern in Scientific Collaborative Behavior from the Perspective of Complex Network..- The Analysis of Innovation Network in China's Hydrogen Energy Industry from the Perspective of Patents..- Construction and Evaluation of a Subjects Synergistic Network for Cross-regional Major Infectious Disease Emergency Response..- Evolution of cumulative reciprocity in structured populations..- Opinion Dynamics. .- Simulating Social Network Dynamics with LLM Agents: An Analysis of Information Propagation and Echo Chambers..- How Public Opinion Risks in Social Hot Events Are Generated: A fsQCA Perspective..- Vulnerability Measurement of Social Media Users to Online Public Opinion in Emergency Context..- Analyzing Replies and Interactions among Users with Different Stances: A Case Study of the Russia Ukraine Conflict..- Explainable Machine Learning-based Research on Key Factors in the Formation of Public Opinion on Similar Events..- Knowledge Technologies and Systems Engineering..- UMCap: User Memory Augmented Method for Personalized Image Descriptions..- Research on the Construction Method of Island Chain Knowledge Graph..- A Knowledge and Data Driven Method for Air Combat Intention Recognition..- Model-Based Systems Engineering Supporting Architecture Modeling of Air Traffic Management System and Model Verifying Based on SMT..- Mission Modeling for the Perseverance Rover based on KARMA Language..- Social Media oriented Fake News Detection based on Social Context and Cascade Graph..- Data Augmentation Using Large Language Model for Fake Review Identification..- Knowledge Management..- Digital Transformation Mechanisms for Emergency Management in Chemical Enterprises: An Industrial Agglomeration Perspective..- Research on the Credibility Evaluation Method of Online Medical Community Answer Content Based on Domain Knowledge Graph..- A Comprehensive Framework for Sentiment Analysis and Cold-Start Recommendations in Vietnam Hospitality Sector..- Mining Complementary Relationships of Items for Diversified Recommendation..- A Novel Two-Stage Approach for Customer Satisfaction Analysis..- Predicting the decision-making performance based on self-attention and long-short term memory network..- A Domain Knowledge-based Railway Equipment Fault Diagnosis Framework.
£64.99
£64.99
£64.99
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£64.99
£59.99
£59.99
Springer Database Systems for Advanced Applications. DASFAA 2024 International Workshops
Book Synopsis.- BDMS..- Analysis of Kinematics and Dynamics for Mobile Robots under Nonholonomic Constraints..- Exploring the application of nonlinear partial differential equations in computer numerical simulation operating systems..- FAITH: A Fast, Accurate, and Lightweight Database-agnostic Learned Cost Model..- Fast Approximate Temporal Butterfly Counting on Bipartite Graphs via Edge Sampling..- Financial-ICS: Identifying Peer Firms via LongBERT from 10K Reports..- BDQM..- Establishing a Decentralized Diamond Quality Management System: Advancing Towards Global Standardization..- Co-Estimation of Data Types and Their Positional Distribution..- Enhancing Load Forecasting with VAE-GAN-based Data Cleaning for Electric Vehicle Charging Loads..- ERDSE..- Audio-guided Visual Knowledge Representation..- Boundary Point Detection Combining Gravity and Outlier Detection Methods..- A Meta-Learning Approach for Category-aware Sequential Recommendation on POIs..- Automatic Post-Editing of Speech Recognition System Output Using Large Language Models..- Comparative Analysis with Multiple Large-Scale Language Models for Automatic Generation of Funny Dialogues..- Effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in Computer Programming Education: A Case Study..- Generating Achievement Relationship Graph between Actions for Alternative Solution Recommendation..- Generating News Headline Containing Specific Person Name..- Investigating Evidence in Sentence Similarity using MASK in BERT..- Acceleration of Synopsis Construction for Bounded Approximate Query Processing..- Query Expansion in Food Review Search with Synonymous Phrase Generation by LLM..- Question Answer Summary Generation from Unstructured Texts by Using LLMs..- Real Estate Information Exploration in VR with LoD Control by Physical Distance..- Voices of Asynchronous Learning Students: Revealing Learning Characteristics through Vocabulary Analysis of Notes Tagged in Videos..- Review Search Interface Based on Search Result Summarization Using Large Language Model..- Yes-No Flowchart Generation for Interactive Exploration of Personalized Health Improvement Actions..- GDMA..- Enhancing Link Prediction Based on Simple Path Graphs..- Construction of EMU fault knowledge graph based on large language model.
£59.99
Springer Neural Information Processing
Book SynopsisLoTraNet: Locality-guided Transformer Network for Image Manipulation Localization.- Progressive EMD-based Trajectory Prediction: A Multistage Approach for Enhanced Human Trajectory Forecasting.- Dual-Level Contrastive Learning Framework.- DLAFormer: A Novel Approach to Image Super-Resolution with Comprehensive Attention Mechanisms.- Audio-Infused Automatic Image Colorization by Exploiting Audio Scene Semantics.- CoMISI: Multimodal Speaker Identification in Diverse Audio-Visual Conditions through Cross-Modal Interaction.- Multi-scale Spatial Feature Aggregation For Effcient Super Resolution.- SCANet: Split Coordinate Attention Network for Building Footprint Extraction.- XFusion: Cross-Attention Transformer for Multi-Focus Image Fusion.- Guided DiffusionDet: Guided Diffusion Model for Object Detection with Resample Mechanism.- Mutual Information-based Mixed Precision Quantization.- MLLM-Driven Semantic Enhancement and Alignment for Text-Based Person Search.- TFCM: Tuning-Free Facial Concept-Erasure in Text-to-Image Models through Attention and Sample Modulation.- Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data.- Knowledge Distillation with Differentiable Optimal Transport on Graph Neural Networks.- Test-Time Intensity Consistency Adaptation for Shadow Detection.- Learning from Noisy Labels for Long-tailed Data via Optimal Transport.- LCRPS: Large-Capacity Residual Plane Steganography Based on Multiple Adversarial Networks.- Aesthetics-Guided Multi-scale Feature Fusion for Style Transfer.- BEVRoad: A Cross-Modal and Temporary-Recurrent 3D Object Detector for Infrastructure Perception.- Dilated Pyramid Attention in Hierarchical Vision Transformer for Texture Recognition.- Attention-based Domain Adaptive YOLO For Cross-domain Object Detection.- In-WSOD: Integrality Weakly Supervised Object Detection with Classification and Localization Consistency.- GLEGNet: Infrared and Visible Image Fusion Via Global-Local Feature Extraction and Edge-Gradient Preservation.- Mending of Spatio-Temporal Dependencies in Block Adjacency Matrix.- CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification.- DIFA: Deformable Implicit Feature Alignment for Roadside Cooperative Perception.- Transferring Teacher’s Invariance to Student Through Data Augmentation Optimization.- AARR-Net: An Attention Assistance Feature Fusion and Model Recursive Recovery Network for Category-level 6D Object Pose Estimation.- BRS-YOLO: A Balanced Optical Remote Sensing Object Detection Method.- HDKI: A Hierarchical Deep Koopman Framework for Spatio-Temporal Prediction with Image Observations.
£64.99
Springer Neural Information Processing
£64.99
Springer Neural Information Processing
£64.99
Springer Neural Information Processing
£59.99
Springer Nature Switzerland AG Neural Information Processing
£75.99
Springer Nature Switzerland AG Neural Information Processing
£75.99
Springer Nature Switzerland AG Neural Information Processing
£75.99
Springer Nature Switzerland AG Neural Information Processing
£75.99
Springer Nature Switzerland AG Neural Information Processing
£75.99
Springer Nature Switzerland AG Neural Information Processing
£75.99
Springer Nature Switzerland AG Neural Information Processing
£75.99
Springer Advances in Data Clustering
Book Synopsis Chapter 1 Classification of Gougerot-Sjögren syndrome Based on Artificial Intelligence.- Chapter 2 Deep learning Classification of Venous Thromboembolism based on Ultrasound imaging.- Chapter 3 Synchronization-Driven Community Detection: Dynamic Frequency Tuning Approach.- Chapter 4 Automatic Evolutionary Clustering for Human Activity Discovery.- Chapter 5 Identification of Correlated factors for Absenteeism of employees using Clustering techniques.- Chapter 6 Multi-view Data Clustering through Consensus Graph and Data Representation Learning.- Chapter 7 Uber's Contribution to Faster Deep Learning: A Case Study in Distributed Model Training.- Chapter 8 Auto-Weighted Multi-View Clustering with Unified Binary Representation and Deep Initialization.- Chapter 9 Clustering with Adaptive Unsupervised Graph Convolution Network.- Chapter 10 Graph-based Semi-supervised Learning for Multi-view Data Analysis.- Chapter 11 Advancements in Fuzzy Clustering Algorithms for Im-age Processing: A Comprehensive Review and Future Directions.- Chapter 12 Multiview Latent representation learning with feature diversity for clustering.
£142.49
Springer Data Science
Book Synopsis.- Novel methods or tools used in big data and its applications..- Quantitative Analysis of the Factors Influencing Macao's Tourism Industry: A Gray Correlation Approach..- Multi-AUV Hunting Strategy Based on the Lions Group Algorithm..- Study on the Coupled and Coordinated Relationships between Social Security and Economic and Social Development in Macao..- A Segmentation Network for Coastal Cegetation Guided by Category-Wighted Information from UAV Perspective Based on SAM..- GAN-Based Defogging and Multiscale Fusion Approach for UAV-Based Seagrass Bed Imagery Semantic segmentation in challenging marine environments..- SEBWatcher: Visual Analysis System for Subject, Environment and Behavior in Traffic Scenes..- Research on the Promotion and Enhancement Paths of Hainan Wenbifeng Pangu Cultural Tourist Areas Based on Network Text Analysis..- Based on Network Text Analysis: A Study on the Promotion Strategy of a Boundary Island for Lingshui Tourism Experience..- Deep Reinforcement Learning Based on Greed for the Critical Cross section Identification Problem..- Intrusion Detection Based on Feature Selection and Transformer BiGRU..- Discussion on the construction of power 3D design platform for nested virtualized hybrid cloud..- Applications of Data Science..- Application of Deep Learning Models Based on Chaos Modeling in Power Internet of Things Forecasting Tasks..- Study on compatibility of vegetable insulating oils and mineral insulating oils for transformer based on molecular simulation methods..- Collaborative optimization scheduling model for clean energy in microgrid clusters..- A Distributed Multi-Microgrid Intelligent Scheduling for New Power System..- Development and Application of Intelligent Calculation Analysis Platform For Large Power Grid..- A Deep Reinforcement Learning Control Strategy with Integrated Droop Control for Parallel DC-DC Buck Converters with CPLs..- MST: A Comprehensive Approach for Short-Term Power Load Forecasting Based on Data Decomposition, Local and Global Modeling..- An Approach to Identification Model for Electric Event Based on Clustering Analysis..- Research on Prediction Models and Optimization Methods for Electrical Current Consumption of Users..- Re-GNN: ANewModelforPredicting Circuit Reliability Degradation..- TRANSFORMER OIL TEMPERATURE PREDICTION METHOD BASED ON CAUSAL DISCOVERY AND GNN-LSTM MODEL..- The Electronic Power Data Traceability Model Based on Hybrid Consensus and IPFS..- Research on complementation of new energy spot and medium to long-term transactions based on blockchain.- Knowledge-driven Calculating Method for Transmission Section Limit of Large Power Grid.
£76.49
Springer Data Science
Book Synopsis.- Education research, methods and materials for data science and engine..- An empirical study of the factors influencing the improvement of educationquality within higher education institutions.- Study on the Intercultural Competence of Students in Hainan Vocational College..- Study on the Communicative Competence of Students of Tourism-related Majorsin Hainan Vocational Colleges..- Research on the Learning Adaptability and Learning Effectiveness of CollegeStudents under the Background of Digital Education..- Research on the Adaptability of Vocational College Majors and Industry EmpiricalStudy Based on 14 Vocational Colleges in Hainan,China..- Practice of the Campus Data Middle Platform Based on Lakehouse IntegratedArchitecture..- Data Security and Privacy..- Reversible Data Hiding for 3D Mesh Model Based on Block Modulus Encryptionand Multi-MSB Prediction..- QR code digital watermarking algorithm based on GWO..- Fast CKKS Algorithm in the SEAL Library..- A Transformer-based Video Colorization Method Fusing Local Self-Attention andBidirectional Optical Flow..- An NTRU Lattice-Based Chameleon Hash Scheme for Redactable Blockchain Applications..- Traceable Decentralized Policy-Based Chameleon Hash Scheme for BlockchainRewriting.- SECURE IDENTITY AUTHENTICATION PROTOCOL BASED ON BLOCKCHAININ SMART HOME..- False Data Injection Attack Detection Method Based on Long Time SeriesPrediction..- A Hybrid Iris Recognition System Model based on Presentation Attack Detectionand Traffic Monitoring Module on AIoT System..- Big Data Mining and Knowledge Management..- Leveraging Spatial Characteristics in Trajectory Compression: An Angle-basedBounded-error Method..- HENF: Hierarchical Entity Neighbor Multi-Relational Fusion Network forKnowledge Graph Completion..- TCB Intrusion Detection Method Based on Data Enhancement..- Multi-source Heterogeneous Data Joint Diagnosis Method for Transformers Basedon D-S Evidence Theory..- Progressive Federated Learning Scheme Based on Model Pruning..- Privacy Protection Data Aggregation Scheme Against Quantum Attacks..- LOCATION DATA QUADTREE PARTITIONINGALGORITHM BASED ONDIFFERENTIAL PRIVACY..- RLART: An Adaptive Radix Tree Based on Deep Reinforcement Learning.
£76.49