Databases / Data management Books
Springer Verlag, Singapore Theoretical Computer Science: 40th National Conference, NCTCS 2022, Changchun, China, July 29–31, 2022, Revised Selected Papers
Book SynopsisThis book constitutes the refereed proceedings of the 40th National Conference on Theoretical Computer Science, NCTCS 2022, held in Changchun, China, during July 29–31, 2022.The 13 full papers and 6 short papers included in this book were carefully reviewed and selected from 58 submissions. They were organized in topical sections as follows: computational theory and model; approximation algorithms; artificial intelligence; and system and resource scheduling.Table of ContentsComputational Theory and Model.- General-nondeterministic fuzzy pushdown automata and their languages.- Joint Degree Distribution of Growing Multiplex Network Model with Nonlinear Preferential Attachment Rule.- Coherence of Quantum States based on Mutually Unbiased Bases.- Determining the Sampling Size with Maintaining the Probability Distribution.- Approximation Algorithms.- The polynomial randomized algorithm to compute bounded degree graphs for TSP based on frequency quadrilaterals.- An approximation algorithm for the minimum soft capacitated disk multi-coverage problem.- A 1/2 approximation algorithm for energy constrained geometric covering problem.- Artificial Intelligence.- MixHop Graph WaveNet for traffic forecasting.- A Brief Discussion on the Reform of Mathematics Teaching in Artificial Intelligence Majors - Taking Matrix Computation and Optimization as Examples.- Improved Spotted Hyena Optimizer fused with multiple strategies.- Regularized Framework on Heterogeneous Hypergraph Model for Personal Recommendation.- Hybrid Pre-training based on Masked Autoencoders for Medical Image Segmentation.- Deep Transfer Learning based Risk Prediction Model for Infectious Disease.- A Data-Driven Framework For Crack Paths Propagation.- System and Resource Scheduling.- A modified list scheduling algorithm for the online hierarchical load balancing problem with bounded processing times.- An Improved ACS Algorithm by CA for Task Scheduling in Heterogeneous Multiprocessing Environments.- On the parameterized tractability of single machine scheduling with rejection to minimize the weighted makespan.- Multi-resource allocation in mobile edge computing systems: A trade-off on fairness and efficiency.- Maximin share based mechanisms for multi-resource fair allocation with divisible and indivisible tasks.
£53.99
Springer Verlag, Singapore Management Innovation and Big Data
Book SynopsisAdhering to the combination of theoretical introduction and practical case introduction, this book summarizes the basic concepts and methods in management and big data analysis at home and abroad and introduces a large number of relevant practical cases, especially new cases in the Internet era, to help readers integrate theoretical knowledge into practical applications. The chapters of this book are interrelated and independent of each other, making it easy for the reader to study in pieces or to delve deeper into a particular topic of interest. Covering an array of theories about management and big data at home and abroad, this book lays a solid foundation for being an authentic manager. It is organized into sections on decision-making, organization, leadership, control, innovation, and big data to fully dissect and summarize the basic concepts of these characters in management and to show the basic methods that managers can use to solve problems. Each section contains a large number of examples to demonstrate how entrepreneurs successfully manage their large companies and overcome the difficulties in the business, utilizing the corresponding management functions or big data technology. Further, in order to adapt to the development of the Internet era, this book also absorbs a lot of practice cases of management innovation and big data which have emerged in recent years based on advanced network platform and big data analysis. This book puts great emphasis on the innovative function of management, adding more comprehensive methods and more updated cases related to the Internet.Table of Contents1. Decision-making2, Organization3. Leadership4. Control5. Innovation6. Basic Concepts7. Decision-making8. Management Practice Cases
£71.24
World Scientific Publishing Co Pte Ltd Querying And Mining Uncertain Data Streams
Book SynopsisData uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams. Its contents include some important discoveries dealing with typical topics such as top-k query, ER-Topk query, rarity estimation, set similarity, and clustering.Querying and Mining Uncertain Data Streams is written for professionals, researchers, and graduate students in data mining and its various related fields.
£88.20
World Scientific Publishing Co Pte Ltd Querying And Mining Uncertain Data Streams
Book SynopsisData uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams cannot be applied to deal with data uncertainty directly due to the exponential growth of possible solution space.This book provides a comprehensive overview of the authors' work on querying and mining uncertain data streams. Its contents include some important discoveries dealing with typical topics such as top-k query, ER-Topk query, rarity estimation, set similarity, and clustering.Querying and Mining Uncertain Data Streams is written for professionals, researchers, and graduate students in data mining and its various related fields.
£45.60
World Scientific Publishing Co Pte Ltd Knowledge Discovery And Data Design Innovation -
Book SynopsisTo navigate the complex ecosystem of societal challenges, the International Conference on Knowledge Management Conference (ICKM 2017) focused on big data and data analytics as part of the relationship to the wider concept of knowledge management processes and practices.This book includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers, governments, and corporations.
£156.60
World Scientific Publishing Co Pte Ltd Multimedia Information Extraction And Digital
Book SynopsisMultimedia Information Extraction and Digital Heritage Preservation is an edited volume of contributions by various distinguished researchers on issues in digital libraries, particularly in connection with heritage documents. This excellent collection of 21 papers covers various aspects of the problem. Cultural and scientific heritage resources are of fundamental value for human civilization, and their preservation is of utmost importance to mankind. Such preservation work has two aspects. First, the preservation of original objects and documents at source or in museums, and two, preservation of their imaged replica in digital form in libraries and other archives. The second approach is essential because objects may disintegrate due to age or ruin by disasters like earthquake, fire, flood, war and also vandalism. The imaged replica and associated digital database will at least prove their past existence and provide sufficient information if they are wiped out of the world. Even for physical preservation of the currently available heritage documents, digital systems and approaches are of great importance in many ways.This book contains efforts on digital preservation of both textual and non-textual matters. In addition, it focuses on digital content and community building for archiving and global sharing of cultural and heritage resources. It contains work ranging from multimedia digital library development, image retrieval from traditional metadata-based to content-based indexing and retrieval, making it a blend of traditional and contemporary issues in the digital preservation and information extraction of heritage documents.The volume focuses on research-oriented work, which can help opening up new vistas of research for the research community, and explore new mechanisms of retrieval of information from Multi-media documents, particularly from heritage documents, apart from using the conventional methods.This volume would find its place among personnel in libraries, museum, archives and other such institutions dealing with preservation, archiving and retrieval of heritage documents. Among the academic community, computer science, library science and information science community will also benefit from this book.Table of ContentsOntology-Based Access of Heritage Artifacts on the Web (S Chaudhury & H Ghosh); Semantic Integration of Classical and Digital Libraries (S Thaddeus et al.); Measuring Document Similarity with Information Retrieval Techniques (S Sanyal); Issues of Scale and Storage in Digital Preservation (R Wright); Establishing Trust in Digital Repositories (B Ambacher); Techniques for Extraction of Metadata from Heritage Documents (R Sanyal); An African Perspective on Digital Preservation (H Suleman); Challenges and Responses in Digital Preservation: The European Project Planets (J-M Comment); and other papers;
£117.00
World Scientific Publishing Co Pte Ltd Database Technology For Life Sciences And
Book SynopsisThis book presents innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. Ranging from how to effectively store and organize biomedical data via data quality and case studies to sophisticated data mining methods, this book provides the state-of-the-art of database technology for life sciences and medicine.A valuable source of information for experts in life sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research.Table of ContentsCore Database Technology: Data Quality in Medical Databases; Database Architecture to Support Biological and Medical Research: Federated Databases, Data Management Platforms, Data Warehouses, Multi-Agent Systems; Anonymity-Preserving Dissemination of Patient Records; Ontology-Based Data Integration in Medicine; Efficient Similarity Search in Biological and Medical Databases; Data Mining: Data Mining For Hospital Productivity Improvement; Multi-Step Patient Health Classification; Motive Discovery in Brain Networks; Feature Selection to Identify Liver Diseases from Breath-Gas Data; Mining Association Rules Between Breast Cancer Prognostic Factors and Gene Expression Data.
£112.50
World Scientific Publishing Co Pte Ltd Intelligent Big Multimedia Databases
Book SynopsisMultimedia databases address a growing number of commercially important applications such as media on demand, surveillance systems and medical systems. The book presents essential and relevant techniques and algorithms to develop and implement large multimedia database systems.The traditional relational database model is based on a relational algebra that is an offshoot of first-order logic and of the algebra of sets. The simple relational model is not powerful enough to address multimedia data. Because of this, multimedia databases are categorized into many major areas. Each of these areas are now so extensive that a major understanding of the mathematical core concepts requires the study of different fields such as information retrieval, digital image processing, feature extraction, fractals, machine learning, neuronal networks and high-dimensional indexing. This book unifies the essential concepts and recent algorithms into a single comprehensive volume.Table of ContentsIntroduction; Multimedia Databases; Transform Functions; Compression; Feature Extraction; Low Dimensional Indexing; Approximative Indexing; High Dimensional Indexing; Dealing with Text Databases; Statistical Supervised Machine Learning; Multimodal Fusion; Software Architecture; Multimedia Databases in Medicine;
£103.50
Springer Mathematics of Intelligent Computing and Data
Book SynopsisChapter 1 Study on marketing dynamics on sales of electric vehicles and swot analysis.- Chapter 2 Stability Analysis and Backward Bifurcation of Malaria Model.- Chapter 3 Mathematical model for diabetes using fuzzy parameters.- Chapter 4 Fuzzy iterated function systems.- Chapter 5 Introduction to Interval-valued Neutrosophic Hyper-soft Expert Set.- Chapter 6 Fuzzy Fractal Dimension of Covid-19 Variant Protein.- Chapter 7 A study of Intuitionistic Fuzzy Graph using Morphological operators and its application.- Chapter 8 Edge weight-based colouring and matching in inhomogeneous random graphs.- Chapter 9 Super Domination Number of Cycle based Graphs and Comb Product of Graphs.- Chapter 10 Sum Divisor Cordial Labelling for Middle Graph and Total Graph of Some Graphs.- Chapter 11 On the Core and Noncore vertices of Singular Graphs.- Chapter 12 On C-Perfection of Modular Product of Graphs.- Chapter 13 A study on topological indices of bipartite Kneser B type-1 graphs.- Chapter 14 On jumping graph grammars.- Chapter 15 Some eigen value properties of Uniform Hyperstar Using recurrence relation.- Chapter 16 A study On Ramanujan graphs.- Chapter 17 On the exponential Diophantine equation related To the powers of Cluster Primes.- Chapter 18 Structure of different categories of Diophantine 3-tuples ap-propriate (????,??)-centred polygonal numbers.- Chapter 19 A Birth-Death Process with Temporary Growth Halts and Population Independent Death Rate.- Chapter 20 Comparison of Vacation and Mt/Mt/1 Queueing Models for Traffic Flow at Signalized Intersections.- Chapter 21 Study of Birth-Death Processes with Growth Interruptions.
£151.99
Springer Innovations in Data Engineering Sustainability for Societal and Industrial Impact
Book SynopsisWhen Gourmet Meets Technology–A Tale of Flavour Science Baked by Machine Learning.- Drawing the landscape: analysis the causes and prevention strategies of the landslide in an emblematic case of convergence of geological, climatic, and anthropic factors.- Unsupervised one class classifier model for fault detection in Wireless Sensor Networks.- Blind Bills: A Technological Approach to Increase Financial Inclusivity for Filipino Citizens.- Develop a Faster Mask Recurrent Convolutional Neural Network and Denoising Autoencoders to Enhance the EEG signals.- An Analysis of the Performance of Binary and Multiclass Models for Early Diagnosis of Skin Cancer.- Enhancing Life Quality for People Who Stutter through an AI-Driven Interactive Website - Assistance for People Who Stutter (AFPWS).- Community Health Management Using Machine Learning Algorithms.- Advancements in Machine Learning for Enhanced X-ray and Gamma Image Analysis: A Review.- Improving Tourism Image Classification with AI-Generated Descriptions: A Comparative Analysis of LLaVA and BLIP Models.- etc.
£197.99
Springer A Mathematical Introduction to Data Science
Book SynopsisChapter 1 Introduction.- Chapter 2 Sets and Functions.- Chapter 3 Liner Algebra.- Chapter 4 Matrix Decomposition.- Chapter 5 Calculus.- Chapter 6 Advanced Calculus.- Chapter 7 Algorithms 1 – Principal Component Analysis.- Chapter 8 Algorithms 2 – Liner Regression.- Chapter 9 Algorithms 3 – Neural Networks.- Chapter 10 Probability.- Chapter 11 Further Probability.- Chapter 12 Elements of Statistics.- Chapter 13 Algorithms 4 – Maximum Likelihood Estimation and its Application to Regression.- Chapter 14 Data Modelling in Practice.
£40.49
Springer Data Engineering and Applications
Book SynopsisReview of Methods for Handling Class-Imbalanced in Classification Problems.- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students.- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem.- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics.- An Efficient Hybrid Model to Summarize the Text using Transfer Learning.- Automatic Detection of Learner's Learning Style.- Construction of an Intelligent Knowledge based System using Transformer Model.- Machine Learning-Based Disease Diagnosis using Body Signals: A Review.- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms.- Sign Language Detection Through PCANet and SVM.- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Us
£161.99
Springer Nature Singapore Space Data Management
Book SynopsisDigital Innovation in Space Science.- Legal regimes for Space data.- Regulating space data management.- High Performance Computing, AI, the Metaverse and quantum computing to transform space data management.- AI applications of Space Data.- Blockchain-enabled Satellite Onboard Computing for Smart Contract: Benefits for Multi-sided Markets and IoT Applications.- On the use of available space monitoring data for improving the risk of collision avoidance.- Optimising collection, transmission and transformation of space data to take up security challenges.- A Fragile Watermarking Approach for Earth Observation Data Integrity Protection.- Deepness: Deep Neural Remote Sensing QGIS Plugin.- Earth Observation Data Transfer at Limitations of Small Satellite Missions.- Earth Observation Data Management and Offer: the experience of the ARIC.- Using satellite data to estimate NO2 concentrations in mainland UK from 2005 to 2021.- Integration of Terrestrial and Non-Terrestrial Networks: challenges and perspectives within the RESTAR project.- Estimate the ice volume of Earth's glaciers with deep learning and remote sensing.- Can life exist without water? A data driven approach.
£134.99
Springer Verlag, Singapore Understanding the Metaverse
Book SynopsisThis book highlights the numerous potentials and concerns involved with using the metaverse. The application areas of the metaverse is quite vast, but it also includes security and privacy issues. Hence, along with the applications, this book helps the reader understand these hidden security and privacy issues.
£50.99
Springer Verlag, Singapore Cloud Native Database
Book SynopsisThis book analyzes in detail the technological evolution process of databases in the era of cloud computing and explains how traditional database technology has gradually developed to cloud-native form from multiple perspectives such as architecture design, implementation mechanism, and system optimization.
£41.24
Springer Web and Big Data
Book Synopsis.- Recommender System..- Hierarchical Review-based Recommendation with Contrastive Collaboration..- Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation..- Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation..- Contrastive Generator Generative Adversarial Networks for Sequential Recommendation..- Distribution-aware Diversification for Personalized Re-ranking in Recommendation..- KMIC: A Knowledge-aware Recommendation with Multivariate Intentions Contrastive Learning..- Logic Preference Fusion Reasoning on Recommendation..- MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-aware Recommendation..- Mixed Augmentation Contrastive Learning for Graph Recommendation System..- Noise-Resistant Graph Neural Networks for Session-based Recommendation..- S2DNMF: A Self-supervised Deep Nonnegative Matrix Factorization Recommenda
£62.99
Springer Verlag, Singapore Hypergraph Computation
Book SynopsisThis open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. In many real-world problems, however, relationships among the objects of our interest are more complex than pair-wise. Naively squeezing the complex relationships into pairwise ones will inevitably lead to loss of information which can be expected valuable for learning tasks. Hypergraph, as a generation of graph, has shown superior performance on modelling complex correlations compared with graph. Recent years have witnessed a great popularity of researches on hypergraph-related AI methods, which have been used in computer vision, social media analysis, etc. We summarize these attempts as a new computing paradigm, called hypergraph computation, which is to formulate the high-order correlations underneath the data using hypergraph, and then conduct semantic computing on the hypergraph for different applications. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. We further summarize recent achievements and future directions on hypergraph computation in this book.Table of Contents
£30.66
Springer Verlag, Singapore Proceedings of the 4th International Conference
Book SynopsisThis book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
£237.49
Springer Verlag, Singapore Big Data and Cloud Computing: Select Proceedings
Book SynopsisThe book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.Table of ContentsTable of contents: Track 1: Architecture Sample topics include, - Cloud Infrastructure as a Service -Cloud Platform as a Service -Cloud federation and hybrid cloud infrastructure -Programming models and systems/tools -Green data center -Networking technologies for data center -Cloud system design with FPGA, GPU, and APU -Monitoring, management and maintenance -Economic and business models -Dynamic resource provisioning Track 2: MapReduce Sample topics include, -Performance characterization and optimization -MapReduce on multi-core, GPU -MapReduce on hybrid distributed environments -MapReduce on opportunistic / heterogeneous computing systems -Extension of the MapReduce programming model -Debugging and simulation of MapReduce systems -Data-intensive applications using MapReduce -Optimized storage for MapReduce applications -Fault-tolerance & Self-capabilities Track 3: Security and Privacy -Accountability -Audit in clouds -Authentication and authorization -Cryptographic primitives -Reliability and availability -Trust and credential management -Usability and security -Security and privacy in clouds -Legacy systems migration -Cloud Integrity and Binding Issues Track 4: Services and Applications -Cloud Service Composition -Query and discovery models for cloud services -Trust and Security in cloud services -Change management in cloud services -Organization models of cloud services -Innovative cloud applications and experiences -Business process and workflow management -Service-Oriented Architecture in clouds Track 5: Virtualization -Server, storage, network virtualization -Resource monitoring -Virtual desktop -Resilience, fault tolerance -Modeling and performance evaluation -Security aspects -Enabling disaster recovery, job migration -Energy efficient issues Track 6. HPC on Cloud -Load balancing for HPC clouds -Middleware framework for HPC clouds -Scalable scheduling for HPC clouds -HPC as a Service -Performance Modeling and Management -Programming models for HPC clouds -HPC cloud applications -Optimal cloud deployment for HPC Track 7. Big Data Science and Foundations -Novel Theoretical Models for Big Data -New Computational Models for Big Data -Data and Information Quality for Big Data -New Data Standards Track 8.Big Data Infrastructure -Cloud/Grid/Stream Computing for Big Data -High Performance/Parallel Computing Platforms for Big Data -Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment -Energy efficient Computing for Big Data -Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data -Software Techniques and Architectures in Cloud/Grid/Stream Computing Big Data Open Platforms -New Programming Models for Big Data beyond Hadoop/MapReduce, STORM -Software Systems to Support Big Data Computing Track 9. Big Data Management -Advanced database and Web Applications -Novel Data Model and Databases for Emerging Hardware -Data Preservation -Data Provenance -Interfaces to Database Systems and Analytics Software Systems -Data Protection, Integrity and Privacy Standards and Policies -Information Integration and Heterogeneous and Multi-structured Data Integration -Data management for Mobile and Pervasive Computing -Data Management in the Social Web -Crowd sourcing -Spatiotemporal and Stream Data Management -Scientific Data Management -Workflow Optimization -Database Management Challenges: Architecture, Storage, User Interfaces Track 10. Big Data Search and Mining -Social Web Search and Mining -Web Search -Algorithms and Systems for Big Data Search -Distributed, and Peer-to-peer Search -Big Data Search Architectures, Scalability and Efficiency -Data Acquisition, Integration, Cleaning, and Best Practices -Visualization Analytics for Big Data -Computational Modeling and Data Integration -Large-scale Recommendation Systems and Social Media Systems -Cloud/Grid/Stream Data Mining- Big Velocity Data -Link and Graph Mining -Semantic-based Data Mining and Data Pre-processing -Mobility and Big Data Track 11. Big Data Security & Privacy -Intrusion Detection for Gigabit Networks -Anomaly and APT Detection in Very Large Scale Systems -High Performance Cryptography -Visualizing Large Scale Security Data -Threat Detection using Big Data Analytics -Privacy Threats of Big Data -Privacy Preserving Big Data Collection/Analytics -HCI Challenges for Big Data Security & Privacy -User Studies for any of the above -Sociological Aspects of Big Data Privacy Track 12. Big Data Applications -Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance -Business, Law, Education -Transportation, Retailing, Telecommunication -Big Data Analytics in Small Business Enterprises (SMEs) -Big Data Analytics in Government, Public Sector and Society in General -Real-life Case Studies of Value Creation through Big Data Analytics -Big Data as a Service -Big Data Industry Standards -Experiences with Big Data Project Deployments Track 13. Recent trends -Semantic Cloud -Mobile Cloud -e-Healthcare Applications in Cloud -Cloud analytics for Internet of Things (IoT) -Smart Grid -Fog Computing -Edge Computing -Deep Learning -CNN
£208.99
Springer Verlag, Singapore Data Management, Analytics and Innovation:
Book SynopsisThis book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. The volume is a collection of peer reviewed research papers presented at Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held during 20 – 22 January, 2023 in Pune, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.Table of ContentsA Smart System to Classify Walking and Sitting Activity based on EEG Signal.- Monitoring urban water-logging using SAR - A Mumbai case study.- Suspicious Event Detection of Cargo Vessels based on AIS Data.- Identifying Trends using Improved Affinity Propagation (IMAP) Clustering Algorithm on Evolving Data Stream.- Graphology based behavior prediction : Case study analysis.- Statistics Driven Suspicious Event Detection of Fishing Vessels based on AIS Data.- Distributed Reduced Alphabet Representation for Predicting Proinflammatory Peptides.- Prakruti Nishchitikaran of Human Body using Supervised Machine Learning Approach.- X-ABI: Towards Parameter Efficient Multilingual Adapter Based Inference for Cross-Lingual Transfer.- Comparative Study of Depth Estimation from 2-D Scene Using Deep Learning Model.- DCNN-based Transfer Learning approaches for Gender Recognition.- Analysis of Machine Learning Algorithms for COVID Detection Using Deep Learning.- Real-time learning towards assets allocation.- Named Entity Recognition over Dialogue Dataset using Pre-trained Transformers.- A Comparative Study of Distance-based Clustering Algorithms in Fuzzy Failure Modes and Effects Analysis.- Economical Solution to Automatic Evaluation of an OMR Sheet Using Image Processing.- Defense and evaluation against covert channel based attacks in Android smartphones.- From Bricks to Clicks: The Potential of Big Data Analytics for Revolutionizing the Information Landscape in Higher Education Sector.- Data science approaches to public health: case studies using routine health data from India.- Arboviral Epidemic Disease Forecasting - A Survey on Diagnostics and Outbreak Models.- Convolution Neural Network for Weed Detection.- Machine Learning Model for Brain Stock Prediction.- Analysis of Covid-19 Genome using Continuous Wavelet Transform.
£224.99
Springer Verlag, Singapore Artificial Intelligence and Cyber Security in
Book SynopsisThis book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications. Table of Contents1. Introduction to AI and Cyber security for industry 2. AI for Industrial automation using Cyber security 3. Applying deep learning and cyber security in medical industry 4. Intelligent Autonomous Drones in industry 4.0 5. AI and IOT security for manufacturing industry 6. Intelligent methods for analysing and correlating log 7. AI Driven vehicle security 8. Applying machine learning techniques and tools for malware analysis in IT industry 9. Intelligent methods for profiling threat and adversary 10. Edge /fog/cloud computing for AI based security services 11. Artificial intelligence based cyber security applications 12. Next Generation Challenges and Future in AI and Cybersecurity in industry 4.0
£53.99
Springer Verlag, Singapore WAIC and WBIC with Python Stan: 100 Exercises for
Book SynopsisMaster the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook. This book focuses on the widely applicable information criterion (WAIC), also described as the Watanabe-Akaike information criterion, and the widely applicable Bayesian information criterion (WBIC), also described as the Watanabe Bayesian information criterion. The book expertly guides you through relevant mathematical problems while also providing hands-on experience with programming in Python and Stan. Whether you’re a data scientist looking to refine your model selection process or a researcher who wants to explore the latest developments in Bayesian statistics, this accessible guide will give you a firm grasp of Watanabe Bayesian Theory.The key features of this indispensable book include: A clear and self-contained writing style, ensuring ease of understanding for readers at various levels of expertise. 100 carefully selected exercises accompanied by solutions in the main text, enabling readers to effectively gauge their progress and comprehension. A comprehensive guide to Sumio Watanabe’s groundbreaking Bayes theory, demystifying a subject once considered too challenging even for seasoned statisticians. Detailed source programs and Stan codes that will enhance readers’ grasp of the mathematical concepts presented. A streamlined approach to algebraic geometry topics in Chapter 6, making Bayes theory more accessible and less daunting. Embark on your machine learning and data science journey with this essential textbook and unlock the full potential of WAIC and WBIC today!Table of ContentsOver view of Watanabe's Bayes.- Introduction to Watanabe Bayesian Theory.- MCMC and Stan.- Mathematical Preparation.- Regular Statistical Models.- Information Criteria.- Algebraic Geometry.- The Essence of WAOIC.- WBIC and Its Application to Machine Learning.
£40.49
Springer Verlag, Singapore Intelligent Information and Database Systems:
Book SynopsisThis two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023.The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections: Case-Based Reasoning and Machine Comprehension; Computer Vision; Data Mining and Machine Learning; Knowledge Integration and Analysis; Speech and Text Processing; and Resource Management and Optimization.Table of ContentsCase-Based Reasoning and Machine Comprehension.- On the improvement of the reasoning cycle in case-based reasoning.- Exploring incompleteness in Case-Based Reasoning: a strategy for overcoming challenge.- Leveraging both Successes and Failures in Case-Based Reasoning for Optimal Solutions.- Transfer Learning for Abnormal Behaviors Identification in Examination Room from Surveillance Videos: A Case Study in Vietnam.- A Novel Question-Context Interaction Method for Machine Reading Comprehension.- Granular Computing to Forecast Alzheimer’s Disease Distinctive Individual Development.- Computer Vision.- AdVLO: Region selection via Attention-driven for Visual LiDAR Odometry.- Intelligent Retrieval System on Legal Information.- VSNet: Vehicle State Classification for Drone Image with Mosaic Augmentation and Soft-label Assignment.- Creating High-Resolution Adversarial Images against Convolutional Neural Networks with the Noise Blowing-Up Method.- Faster Imputation Using Singular Value Decomposition for Sparse Data.- Combination of deep learning and ambiguity rejection for improving image-based disease diagnosis.- Data Mining and Machine Learning.- Towards Developing an Automated Chatbot for Predicting Legal Case Outcomes: A Deep Learning Approach.- Fuzzy-Based Factor Evaluation System for Momentum Overweight Trading Strategy.- Enhancing Abnormal-Behavior-based Stock Trend Prediction Algorithm with Cost-sensitive Learning Using Genetic Algorithms.- Leveraging Natural Language Processing in Persuasive Marketing.- Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction.- Tree-based Unified Temporal Erasable-itemset Mining.- Design Recovery of Data Model Hidden in JSON File.- Accurate lightweight calibration methods for mobile low-cost particulate matter sensors.- Generating music for video games with real-time adaptation to gameplay pace.- Detecting Sensitive Data with GANs and Fully Convolutional Networks.- An Unsupervised Deep Learning Framework for Anomaly Detection.- Extracting top-k high utility patterns from multi-level transaction databases.- Lightweight and Efficient Privacy-Preserving Multimodal Representation Inference via Fully Homomorphic Encryption.- Neural Machine Translation with Diversity-enabled Translation Memory.- GIFT4Rec: An effective side Information Fusion Technique apply to Graph neural network for cold-start recommendation.- A Decision Support System for Improving Lung Cancer Prediction based on ANN.- Emotion detection from text in social networks.- Finite Libby-Novick Beta Mixture Model: An MML-Based Approach.- Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices.- A Novel Meta-Heuristic Search Based on Mutual Information for Filter-Based Feature Selection.- Discovering prevalent co-location patterns without collecting co-location instances.- Integrating Geospatial Tools for Air Pollution Prediction: A Synthetic City Generator Framework for Efficient Modeling and Visualization.- Design of an Automated CNN Composition Scheme with Lightweight Depth-Correlated Convolution for Space-Limited Applications.
£61.74
Springer Verlag, Singapore Intelligent Information and Database Systems:
Book SynopsisThis two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 24–26, 2023. The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections: Case-Based Reasoning and Machine Comprehension; Computer Vision; Data Mining and Machine Learning; Knowledge Integration and Analysis; Speech and Text Processing; and Resource Management and Optimization.Table of ContentsKnowledge Integration and Analysis.- A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys.- A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns.- Obfuscating LLVM IR with the Application of Lambda Calculus.- Structural and Compact Latent Representation Learning on Sparse Reward Environments.- A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis.- Social collective model of non-internet social networks.- A Data-driven Scheduling Strategy for Mobile Air Quality Monitoring Devices.- Hybrid approaches to sentiment analysis of social media data.- Integrating Ontology-based Knowledge to Improve BiomedicalMulti-Document Summarization Model.- An Improvement of Diachronic Embedding for Temporal Knowledge Graph Completion.- DCA-based weighted bagging: A new ensemble learning approach.- Deep-learning- and GCN-based Aspect-level Sentiment Analysis Methods on Balanced and Unbalanced Datasets.- Applying the Malmquist productivity index model to assess the performance of the coffee enterprise in DakLak Vietnam.- A Cluster-Constrained Graph Convolutional Network for Protein– Protein Association networks.- Fuzzy logic framework for ontology concepts alignment.- Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge.- Multi-criteria Approaches to Explaining Black Box Machine Learning Models.- Improving Loss Function for Polyp Detection Problem.- Flow Plugin Network for Conditional Generation.- Speech and Text Processing.- Investigating the Impact of Parkinson’s Disease on Brain Computations An Online Study of Healthy Controls and PD Patients.- Speech Enhancement using Dynamical Variational AutoEncoder.- Vietnamese Multidocument Summarization using Subgraph Selection-based Approach with Graph-informed Self-attention mechanism.- NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering.- An Empirical Study on Punctuation Restoration for English, Mandarin, and Code-switching Speech.- Novel Topic Models for Parallel Topics Extraction from Multilingual Text.- Adapting Code-Switching Language Models with Statistical-Based Text Augmentation.- Improving Hotel Customer Sentiment Prediction by Fusing Review Titles and Contents.- Resource management and optimization.- In support of push-based streaming for the computing continuum.- Effective method of implementing constrained optimization problems using data instances.- Scheduling Deep Learning Training in GPU Cluster Using the Model-similarity-based Policy.
£56.99
Springer Verlag, Singapore Information and Communications Security: 25th
Book SynopsisThis volume LNCS 14252 constitutes the refereed proceedings of 25th International Conference on Information and Communications Security, ICICS 2023, held in Tianjin, China, during November 18–20, 2023. The 38 full papers presented together with 6 short papers were carefully reviewed and selected from 181 submissions. The conference focuses on: Symmetric-Key Cryptography; Public-Key Cryptography; Applied Cryptography; Authentication and Authorization; Privacy and Anonymity; Security and Privacy of AI; Blockchain and Cryptocurrencies; and System and Network Security. Table of ContentsSymmetric-Key Cryptography.- SAT-aided Differential Cryptanalysis of Lightweight Block Ciphers Midori, MANTIS and QARMA.- Improved Related-Key Rectangle Attack against the Full AES-192.- Block Ciphers Classification Based on Randomness Test Statistic Value via LightGBM.- Cryptanalysis of Two White-Box Implementations of the CLEFIA Block Cipher.- PAE: Towards More Efficient and BBB-secure AE From a Single Public Permutation.- Public-Key Cryptography.- A Polynomial-time Attack on G2SIDH.- Improvements of Homomorphic Secure Evaluation of Inverse Square Root.- Oblivious Transfer from Rerandomizable PKE.- Forward Secure Lattice-based Ring Signature Scheme in the Standard Model.- Applied Cryptography.- Secure Multi-Party Computation with Legally-Enforceable Fairness.- On-demand Allocation of Cryptographic Computing Resource with Load Prediction.- Private Message Franking with After Opening Privacy.- Semi-Honest 2-Party Faithful Truncation from Two-Bit Extraction.- Outsourcing Verifiable Distributed Oblivious Polynomial Evaluation from Threshold Cryptography.- Authentication and Authorization.- PiXi: Password Inspiration by Exploring Information.- Security Analysis of Alignment-Robust Cancelable Biometric Scheme for Iris Verification.- A Certificateless Conditional Anonymous Authentication Scheme for Satellite Internet of Things.- BLAC: A Blockchain-based Lightweight Access Control Scheme in Vehicular Social Networks.- Privacy and Anonymity.- Link Prediction-Based Multi-Identity Recognition of Darknet Vendors.- CryptoMask: Privacy-preserving Face Recognition.- Efficient Private Multiset ID Protocols.- Zoomer: A Website Fingerprinting Attack against Tor Hidden Services.- An Enhanced Privacy-preserving Hierarchical Federated Learning Framework for IoV.- Security and Privacy of AI.- Revisiting the Deep Learning-based Eavesdropping Attacks via Facial Dynamics from VR Motion Sensors.- Multi-scale Features Destructive Universal Adversarial Perturbations.- Pixel-Wise Reconstruction of Private Data in Split Federated Learning.- Neural Network Backdoor Attacks Fully Controlled by Composite Natural Utterance Fragments.- Black-Box Fairness Testing with Shadow Models.- Graph Unlearning using Knowledge Distillation.- AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings.- Learning to Detect Deepfakes via Adaptive Attention and Constrained Difference.- A Novel Deep Ensemble Framework for Online Signature Verification Using Temporal and Spatial Representation.- Blockchain and Cryptocurrencies.- SCOPE: A Cross-Chain Supervision Scheme for Consortium Blockchains.- Subsidy Bridge: Rewarding Cross-blockchain Relayers with Subsidy.- Towards Efficient and Privacy-Preserving Anomaly Detection of Blockchain-based Cryptocurrency Transactions.- Blockchain based Publicly Auditable Multi-Party Computation with Cheater Detection.- BDTS: Blockchain-based Data Trading System.- Illegal Accounts Detection on Ethereum using Heterogeneous Graph Transformer Networks.- System and Network security.- DRoT: A Decentralised Root of Trust for Trusted Networks.- Finding Missing Security Operation Bugs via Program Slicing and Differential Check.- TimeClave: Oblivious In-enclave Time series Processing System.- Efficient and Appropriate Key Generation Scheme in Different IoT Scenarios.- A Fake News Detection Method Based on A Multimodal Cooperative Attention Network.
£80.74
Springer Verlag, Singapore Data Economy in the Digital Age
Book SynopsisThe book is a comprehensive guide that explores the concept of data economy and its implications in today's world. The book discusses the principles and components of the ecosystem, the challenges and opportunities presented by data monetization, and the potential risks related to data privacy. Real-life examples and case studies are included to understand the concepts better. The book is suitable for individuals in data science, economics, business, and technology and for students, academics, and policymakers. It is an excellent read for anyone interested in the data economy.Table of ContentsChapter 1: Data Economy.- Chapter 2: Navigating the Data Deluge: Challenges and Opportunities.- Chapter 3: Data Monetization.- Chapter 4: Demographic Trend of Data Economy.- Chapter 5: The Economy of Data Privacy.- Chapter 6: Application of Data Economy.
£107.99
Association of Computing Machinery,U.S. Geospatial Data Science: A Hands-on Approach for
Book SynopsisThis introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the linked data paradigm, and shows how data scientists can use them to build environmental applications easily. Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.The book is accompanied by a Web site where solutions to some of the exercises are given together with supplementary material such as datasets and code. Most of the material in the book has been tried in the "Knowledge Technologies" course taught by the first author in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.
£42.46
Association of Computing Machinery,U.S. Geospatial Data Science: A Hands-on Approach for Building Geospatial Applications using Linked Data Technologies
Book SynopsisThis introductory textbook teaches the simple development of geospatial applications based on the principles and software tools of geospatial data science. It introduces a new generation of geospatial technologies that have emerged from the development of the Semantic Web and the linked data paradigm, and shows how data scientists can use them to build environmental applications easily. Geospatial data science is the science of collecting, organizing, analyzing, and visualizing geospatial data. Since around 2010, there has been extensive work in the area of geospatial data science using semantic technologies and linked data, from researchers in the areas of the Semantic Web, Geospatial Databases and Geoinformatics. The main results of this research have been the publication of the OGC standard GeoSPARQL and the implementation of a number of linked data tools supporting this standard. Up to now, there has been no textbook that enables someone to teach this material to undergraduate or graduate students.The material of the book is developed in a tutorial style and it is appropriate for an introductory course on the subject. This can be an advanced undergraduate course or a graduate course offered by Computer Science or GIS faculty. It is a hands-on approach and every chapter contains exercises that help students master the material.The book is accompanied by a Web site where solutions to some of the exercises are given together with supplementary material such as datasets and code. Most of the material in the book has been tried in the "Knowledge Technologies" course taught by the first author in the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens since 2012.
£56.00
£43.99
Apress Mastering the Snowflake SQL API with Laravel 10
Book Synopsis1. Snowflake.- 2. The Snowflake Data Cloud.- 3. Getting Started with Snowflake SQL API.- 4. SQL Basics in Snowflake Using Snowflake SQL API.- 5. Advanced SQL Techniques using Snowflake SQL API.- 6. Data Security and Access Control.- 7. Performance Tuning and Optimization.- 8. Data Warehousing Best Practices.- 9. Working With Laravel 10.- 10. Architectural Patterns and Solutions.- 11. Community and Resources.- 12. Conclusion.
£17.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Databricks Data Intelligence Platform
Book SynopsisThis book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the fastest-growing data platform offering unified analytics and AI capabilities within a single governance framework, enabling organizations to streamline their data processing workflows, from ingestion to visualization. Additionally, Databricks provides features to train a high-quality large language model (LLM), whether you are looking for Retrieval-Augmented Generation (RAG) or fine-tuning. Databricks offers a scalable and efficient solution for processing large volumes of both structured and unstructured data, facilitating advanced analytics, machine learning, and real-time processing. In today's GenAI world, Databricks plays a crucial role in empowering organizations to extract value from their data effectively, driving innovation and gaining a competitive edge in the digital age. This book will not only help you master the Data Intelligence Platform but also help power your enterprise to the next level with a bespoke LLM unique to your organization. Beginning with foundational principles, the book starts with a platform overview and explores features and best practices for ingestion, transformation, and storage with Delta Lake. Advanced topics include leveraging Databricks SQL for querying and visualizing large datasets, ensuring data governance and security with Unity Catalog, and deploying machine learning and LLMs using Databricks MLflow for GenAI. Through practical examples, insights, and best practices, this book equips solution architects and data engineers with the knowledge to design and implement scalable data solutions, making it an indispensable resource for modern enterprises. Whether you are new to Databricks and trying to learn a new platform, a seasoned practitioner building data pipelines, data science models, or GenAI applications, or even an executive who wants to communicate the value of Databricks to customers, this book is for you. With its extensive feature and best practice deep dives, it also serves as an excellent reference guide if you are preparing for Databricks certification exams. What You Will LearnFoundational principles of Lakehouse architectureKey features including Unity Catalog, Databricks SQL (DBSQL), and Delta Live TablesDatabricks Intelligence Platform and key functionalitiesBuilding and deploying GenAI Applications from data ingestion to model servingDatabricks pricing, platform security, DBRX, and many more topicsWho This Book Is ForSolution architects, data engineers, data scientists, Databricks practitioners, and anyone who wants to deploy their Gen AI solutions with the Data Intelligence Platform. This is also a handbook for senior execs who need to communicate the value of Databricks to customers. People who are new to the Databricks Platform and want comprehensive insights will find the book accessible.
£35.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Learn Data Science Using Python
Book SynopsisHarness the capabilities of Python and gain the expertise need to master data science techniques. This step-by-step book guides you through using Python to achieve tasks related to data cleaning, statistics, and visualization. You'll start by reviewing the foundational aspects of the data science process. This includes an extensive overview of research points and practical applications, such as the insightful analysis of presidential elections. The journey continues by navigating through installation procedures and providing valuable insights into Python, data types, typecasting, and essential libraries like Pandas and NumPy. You'll then delve into the captivating world of data visualization. Concepts such as scatter plots, histograms, and bubble charts come alive through detailed discussions and practical code examples, unraveling the complexities of creating compelling visualizations for enhanced data understanding. Statistical analysis, linear models, and advanced data preprocessing techniques are also discussed before moving on to preparing data for analysis, including renaming variables, variable rearrangement, and conditional statements. Finally, you'll be introduced to regression techniques, demystifying the intricacies of simple and multiple linear regression, as well as logistic regression. What You'll LearnUnderstand installation procedures and valuable insights into Python, data types, typecastingExamine the fundamental statistical analysis required in most data science and analytics reportsClean the most common data set problemsUse linear progression for data predictionWho This Book Is ForData Analysts, data scientists, Python programmers, and software developers new to data science.
£47.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Hacking MySQL
Book SynopsisYour MySQL instances are probably broken. Many developers face slow-running queries, issues related to database architecture, replication, or database securityand that's only the beginning. This book will deliver answers to your most pressing MySQL database questions related to performance, availability, or security by uncovering what causes databases to break in the first place. At its core, this book provides you with the knowledge necessary for you to break your database instances so you can better optimize it for performance and secure it from data breaches. In other words, you'll discover the sorts of actions, minor and major, that degrade databases so you can fix and ultimately preempt them. MySQL sometimes acts according to its own rules, and this book will help you keep it working on your terms. At the same time, you will learn to optimize your backup and recovery procedures, determine when and which data to index to achieve maximum performance, and choose the best MySQL configurations, among other essential skills. Most MySQL books focus exclusively on optimization, but this book argues that it's just as important to pay attention to the ways databases break. Indeed, after reading this book, you will be able to safely break your database instances to expose and overcome the nuanced issues that affect performance, availability, and security. What You Will LearnKnow the basics of MySQL and the storage engines innoDB and MyISAMSpot the ways you are harming your database's performance, availability and security without even realizing itFix minor bugs and issues that have surprisingly serious impactOptimize schema, data types, queries, indexes, and partitions to head off issuesUnderstand key MySQL security strategiesWho This Book Is ForDatabase administrators, web developers, systems administrators, and security professionals with an intermediary knowledge of database management systems and building applications in MySQL
£43.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Pro Oracle Database 23ai Administration
Book SynopsisMaster Oracle Database administration in both on-premises and cloud environments. This new edition covers the tasks you'll need to perform to keep your databases tuned and performing, and includes new, important innovations with AI Vector Search, JSON Duality Views, and Select AI. Since Oracle Database 23ai offers a choice of platforms with on-premises and cloud, the book also includes administrative tasks specific to cloud environments, including the Oracle Autonomous Database running in the Oracle Cloud Infrastructure. New in this edition is help for DBAs who are becoming involved in data management, and a look at the idea of a converged database and what that means in handling various data types and workloads. The book covers some of the machine learning features now in Oracle and shows how the same SQL that you know for database administration also helps you with data management tasks. The information in this book helps you to apply the right solution at the right time, mitigating risk and making robust choices that protect your data and avoid midnight phone calls. Data management is increasingly a DBA function, and DBAs are often called upon for help in getting data loaded into analytics environments such as a data lakehouse or a data mesh. This book addresses this fast-growing new role for database administrators and helps you build on your existing knowledge to make the transition into a new skill set that is in high demand. You'll learn how to look at data optimization from the standpoint of data analysis and machine learning so that you can be seen as a key player in preparing your organization's data for those type of activities. You'll know how to pull back information from a combination of relational tables and JSON structures. You'll become familiar with the tools that Oracle Database provides to make analytics easier and more straightforward. And you'll learn simpler ways to manage time-based tables that eliminate the need for painfully creating triggers to track the history of row changes over time. This book builds your skills as an Oracle Database administrator with the aim of helping you to be seen as a key player in data management as your organization pivots toward cloud computing and a greater use of machine learning and analytics technologies. What You Will LearnConfigure and manage Oracle 23ai databases both on-premises and in the cloudMeet your DBA responsibilities in the Oracle Cloud and with Database Cloud ServicesLeverage converged database capabilities to manage different workloads, structured and unstructured dataPerform administrative tasks for Autonomous Database dedicated environmentsPerform DBA tasks and effectively use data management toolsMigrate from on-premises to the Oracle Cloud InfrastructureTroubleshoot issues with Oracle 23ai databases and quickly solve performance problemsArchitect cloud, on-premises, hybrid, and multi-cloud database environmentsWho This Book Is ForOracle database administrators (DBAs) who want to be current with the new features in Oracle Database 23ai. For any DBA who is tasked with managing Oracle databases in cloud, hybrid cloud, and multi-cloud configurations. Also helpful for data architects who are designing analytic solutions in data lake house and data mesh environments.
£46.74
£43.99
£33.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Narrative SQL
£37.49
Apress Unlocking dbt
£35.99
Nova Science Publishers Inc The Future of Data Mining
Book Synopsis
£67.99
