Data capture and analysis Books
Springer Fachmedien Wiesbaden App4U: Mehrwerte durch Apps im B2B und B2C
Book SynopsisProprietäre und monolithische Softwaresysteme haben die Wirtschaft in den letzten Jahrzehnten geprägt. Ohne die digitale Unterstützung der Geschäftsprozesse ist kein Unternehmen wettbewerbsfähig. Die Revolution wird durch den Consumer Bereich vorangetrieben, die Geschäftsprozesse werden mobil und ubiquitär. Konsumenten im B2C und Unternehmen im B2B werden zukünftig permanent in Kontakt treten können, die one-to-one Kommunikation wird durch einen many-to-many Informationsaustausch ersetzt werden.Trade Review“... Die Zielgruppe ist ambitioniert definiert, vom Unternehmer über den IT-Verantwortlichen und IT-Praktiker bis hin zu Lehrenden und Studierenden der BWL und der WI und all denjenigen, die sich in Politik und Gesellschaft mit dem IT-Sektor beschäftigen. ... Ein noch immer aktuelles Buch, das viele nützliche Informationen enthält ...” (Matthias Knoll, in: HMD Praxis der Wirtschaftsinformatik, Jg. 53, 2016, S. 557 f.)Table of ContentsApp4U: Einführung in die Welt der mobilen Applikationen - Strategische Aspekte, Geschäftsmodelle für App-Projekte, mobile Unternehmensprozesse - Aktuelle Situation am Markt, Umsatz und Nutzung mobiler Datendienste und Applikationen - Vorgehens- und Validierungsmodell für die APP Entwicklung - Die technologischen Grundlagen der App Entwicklung - Mobile Security - Aktuelle Praxisbeispiele - Zusammenfassung und Ausblick
£23.74
Springer Fachmedien Wiesbaden Crashkurs Mathematik: für Informatiker
Book SynopsisStudierende, die ein Informatikstudium aufnehmen, brauchen zu Beginn vor allem eines: mathematische Grundkenntnisse. Dieser Crashkurs soll Studierenden im ersten Semester helfen, möglichst rechtzeitig diese Fähigkeiten zu erwerben. Durch viele motivierende Beispiele, erklärende Bilder und konkrete Darstellungen weckt das Buch Freude an der Mathematik und sichert den erfolgreichen Einstieg.Trade Review"Ein schönes Einsteigerbuch, das gut auf das Studium vorbereitet und trotzdem die Lust an Mathe nicht verleidet." www.media-mania.de, 30.12.2010Table of ContentsSchulstoff.- Schulstoff.- Mengen, Logik und Kombinatorik.- Grundbegriffe.- Logik und Beweismethoden.- Kombinatorik.- Algebra und Zahlentheorie.- Modulare Arithmetik.- Algebraische Strukturen.- Lineare Algebra.- Vektorkalkül.- Matrizenkalkül.- Analysis.- Folgen und Rekursionsgleichungen.- Konvergenz von Zahlenfolgen.- Differenzialrechnung.- Diskrete Stochastik.- Ereignisse und ihre Wahrscheinlichkeiten.- Zufallsvariablen.
£28.49
Transcript Verlag Interrogating Datafication – Towards a Praxeology
Book SynopsisWhat constitutes a data practice and how do contemporary digital media technologies reconfigure our understanding of practices in general? Autonomously acting media, distributed digital infrastructures, and sensor-based media environments challenge the conditions of accounting for data practices both theoretically and empirically. Which forms of cooperation are constituted in and by data practices? And how are human and nonhuman agencies distributed and interrelated in data-saturated environments? The volume collects theoretical, empirical, and historiographical contributions from a range of international scholars to shed light on the current shift from media to data practices.
£40.49
ibidem-Verlag, Jessica Haunschild u Christian Schon Future Machine-to-Machine Communications: LTE-A
Book SynopsisThis book is the essence of a scientific research endeavour aspired to tackle the challenges of ever-growing data traffic in mobile networks. The contemporary mobile communication systems offer efficient services to broadband applications. However, narrowband Machine-to-Machine (M2M) data traffic handling remains still a concern. This book advocates a set of protocols for aggregation and multiplexing of M2M data traffic at an intermediate node before transmission to the core network. The devised framework is realised by two independent methods: the simulation approach and the analytical approach. The outcomes obtained through both methods are compared to validate the results. The statistical significance of simulation results is established by the determination of confidence intervals. The findings suggest significant improvements in radio resource utilisation when serving M2M traffic.
£27.00
New India Publishing Agency Data Acquisition and Analysis in Animal Breeding
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£209.90
Brill Emerging Trends in Learning Analytics: Leveraging
Book SynopsisThis book documents recent attempts to conduct systematic, prodigious and multidisciplinary research in learning analytics and present their findings and identify areas for further research and development. The book also unveils the distinguished and exemplary works by educators and researchers in the field highlighting the current trends, privacy and ethical issues, creative and unique approaches, innovative methods, frameworks, and theoretical and practical aspects of learning analytics.Table of ContentsList of Figures and Tables Notes on Contributors PART 1: Introduction 1 Big Data Analytics in Education for Dynamic Personalised Learning Design Myint Swe Khine PART 2: Trends in Learning Analytics 2 Post-Traditional Learning Analytics: How Data and Information Technology Transform Learning Environment Alexander Amigud 3 The Use of Analytics for Educational Purposes: A Review of Literature from 2015 to Present Min Liu, Zilong Pan, Xin Pan, Dongwook An, Wenting Zou, Chenglu Li and Yi Shi 4 A Snapshot of Research on Learning Analytics: A Systematic Review Selcan Kilis and Yasemin Gulbahar 5 The Benefits of Learning Analytics in Open and Distance Education: A Review of the Evidence Billy Tak-Ming Wong PART 3: Pedagogical Applications of Learning Analytics 6 The New Smarts in Teaching and Learning Jon Mason, Stefan Popenici, Leigh Blackall and Peter Shaw 7 Following the Learners’ Traces: Profiling Learners and Visualizing the Learning Process for Building Better Learning Experiences Arif Altun and Mehmet Kokoç 8 Analytical Indicators for Profiling and Improving Engagement and Success of Vulnerable Participants Mirella Atherton 9 Triangulating Student Engagement with “Built & Bought” Learning Analytics John Fritz and Robert Carpenter PART 4: Learning Analytics and Educational Research 10 Implementation of a Learning Analytics System in a Productive Higher Education Environment Clara Schumacher, Daniel Klasen and Dirk Ifenthaler 11 Discourse Analysis Visualization Based on Community of Inquiry Framework Masanori Yamada, Yoshiko Goda, Kosuke Kaneko, Junko Handa and Yumi Ishige 12 Learning Support Systems Based on Cohesive Learning Analytics Fumiya Okubo, Masanori Yamada, Misato Oi, Atsushi Shimada, Yuta Taniguchi and Shin’ichi Konomi 13 The Learning Analytics and Flipped PBL for Tool-Design Learning Il-Hyun Jo 14 Learning Analytics Cockpit for MOOC Platforms Karin Maier, Philipp Leitner and Martin Ebner
£108.68
Bpb Publications SAP S/4HANA Central Finance and Group Reporting:
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£25.17
New India Publishing Agency Data Acquisition and Analysis in Geoinformatics
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£199.50
World Scientific Publishing Co Pte Ltd Handbook On Big Data And Machine Learning In The
Book SynopsisThis compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.
£810.00
World Scientific Publishing Co Pte Ltd Algorithms For Big Data
Book SynopsisThis unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms.To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important techniques and tools used in Big Data algorithms, and yet do not require tedious calculations or a very deep mathematical background.
£121.50
World Scientific Publishing Co Pte Ltd Graph-based Keyword Spotting
Book SynopsisKeyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document.This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching.Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.
£90.00
World Scientific Publishing Co Pte Ltd Exploring Big Historical Data: The Historian's
Book SynopsisEvery day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.
£85.50
World Scientific Publishing Co Pte Ltd Exploring Big Historical Data: The Historian's
Book SynopsisEvery day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.
£42.75
World Scientific Publishing Co Pte Ltd Big Data Management And Analytics
Book SynopsisWith the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.
£76.00
World Scientific Publishing Company Intelligent Management Of Data And Information In
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£148.50
World Scientific Publishing Company Cluster Analysis A Primer Using R
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£90.00
Springer Verlag, Singapore Advances in Machine Learning for Big Data
Book SynopsisThis book focuses on research aspects of ensemble approaches of machine learning techniques that can be applied to address the big data problems. In this book, various advancements of machine learning algorithms to extract data-driven decisions from big data in diverse domains such as the banking sector, healthcare, social media, and video surveillance are presented in several chapters. Each of them has separate functionalities, which can be leveraged to solve a specific set of big data applications. This book is a potential resource for various advances in the field of machine learning and data science to solve big data problems with many objectives. It has been observed from the literature that several works have been focused on the advancement of machine learning in various fields like biomedical, stock prediction, sentiment analysis, etc. However, limited discussions have been carried out on application of advanced machine learning techniques in solving big data problems. Table of ContentsDeep Learning for Supervised Learning.- Deep Learning for Unsupervised Learning.- Support Vector Machine for Regression.- Support Vector Machine for Classification.- Decision Tree for Regression.- Higher Order Neural Networks.- Competitive Learning.- Semi-supervised Learning.- Multi-objective Optimization Techniques.- Techniques for Feature Selection/Extraction.- Techniques for Task Relevant Big Data Analysis.- Techniques for Post Processing Task in Big Data Analysis.- Customer Relationship Management.
£125.99
Springer Verlag, Singapore Epidemiologic Research on Real-World Medical Data
Book SynopsisThis book analyzes the development of medical big data projects in Japan.Japan is experiencing unprecedented population aging, and labor productivity has decreased accordingly. Big data analysis of the Japanese medical real-world database (RWD) has the potential to tackle this issue.To allow readers to gain an understanding of Japanese medical big data analysis, the book discusses the original Japanese system that generates medical RWDs in the hospital medical records system, the nationwide standardized health checkup system, and the public medical insurance system in Japan.After introducing four major big data projects in the healthcare–medical field in Japan, the book explains the importance of creating information standards to maintain data quality and to analyze medical big data. It enables readers to analyze which standards are installed in which RWDs, how the standards are maintained, and which issues are prevalent in Japan.This book also describes the ethical processes involved in big data projects involving medical RWDs in Japan.Table of Contents Overview NDB (National Database) MID-NET (Medical Information Database Network) DPC (Diagnosis Procedure Combination) Disease Registration Cohort Study with EMR(SS-MIX2) Standard Code Mapping and Data Quality Phenotyping Data Analysis on Real World Data Ethical Issues of Data Secondary Use in Japan
£37.99
World Scientific Publishing Co Pte Ltd Large Scale Structure And Dynamics Of Complex
Book SynopsisThis book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks.Table of ContentsPreliminaries and Basic Definitions in Network Theory; Models of Complex Networks; Correlations in Complex Networks; The Architecture of Complex Weighted Networks; Community Structure Identification; Visualizing Large Complex Networks; Modeling the Webgraph: How Far We Are; The Large Scale Structure of the Internet; Spanning Tree in Ecology; Social and Financial Networks.
£110.70
World Scientific Publishing Co Pte Ltd Data Mining With Decision Trees: Theory And
Book SynopsisThis is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition. This book invites readers to explore the many benefits in data mining that decision trees offer:Table of ContentsIntroduction to Decision Trees; Growing Decision Trees; Evaluation of Classification Trees; Splitting Criteria; Pruning Trees; Advanced Decision Trees; Decision Forests; Incremental Learning of Decision Trees; Incorporating Costs in Decision Trees Induction; Active Learning of Decision Trees; Feature Selection; Fuzzy Decision Trees; Hybridization of Decision Tree with Other Induction Techniques; Using Decision Trees for Text Classification; Appendix: Data Mining with Other Techniques.
£99.00
World Scientific Publishing Co Pte Ltd Biodata Mining And Visualization: Novel
Book SynopsisThere is a lack of an exposition on interdisciplinary and innovative methods of data mining and visualization for biodata. This book fills the gap by introducing an interdisciplinary set of the most recent methods and references on novel techniques from artificial intelligence, data mining, engineering, pattern recognition, and ontological data mining fields that are applicable to bioinformatics. The latest novel approaches are explained in detail, their advantages and disadvantages are summarized, and pointers to the future development of new applications are given. By widening the pool from which biologists and bioinformaticians can adopt methods for biodata mining and visualization, computational data mining experts in nonbiological fields are also encouraged to utilize their expertise in order to contribute to the progress of computational biology, thus enhancing the collaboration between these two disciplines.Table of ContentsIntroduction to Modern Molecular Biology; Biodata Explosion; Local Pattern Discovery and Comparison of Genes and Proteins; Global Pattern Discovery and Comparison of Genomes; Molecule Structure?based Searching and Comparison; Function Annotation and Ontology?based Searching and Classification; New Methods for Genomics Data; Integration of Multimodal Data: Toward Systems Biology; Future Challenges.
£73.15
World Scientific Publishing Co Pte Ltd Nonlinear Integrals And Their Applications In
Book SynopsisRegarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable.The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.Table of ContentsBasic Knowledge on Classical Sets; Fuzzy Sets; Set Functions; Integrations; Information Fusion; Optimization and Soft Computing; Identification of Set Functions; Multiregressions Based on Nonlinear Integrals; Classifications Based on Nonlinear Integrals; Data Mining with Fuzzy Data.
£103.50
World Scientific Publishing Co Pte Ltd Opinion Analysis For Online Reviews
Book SynopsisThis book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
£88.20
World Scientific Publishing Co Pte Ltd Opinion Analysis For Online Reviews
Book SynopsisThis book provides a comprehensive introduction on opinion analysis for online reviews. It offers the newest research on opinion mining, including theories, algorithms and datasets. A new feature presentation method is highlighted for sentiment classification. Then, a three-phase framework for sentiment classification is proposed, where a set of sentiment classifiers are selected automatically to make predictions. Such predictions are integrated via ensemble learning. Finally, to solve the problem of combination explosion encountered, a greedy algorithm is devised to select the base classifiers.
£55.10
World Scientific Publishing Co Pte Ltd Network Data Mining And Analysis
Book SynopsisOnline social networking sites like Facebook, LinkedIn, and Twitter, offer millions of members the opportunity to befriend one another, send messages to each other, and post content on the site — actions which generate mind-boggling amounts of data every day.To make sense of the massive data from these sites, we resort to social media mining to answer questions like the following:
£85.50
World Scientific Publishing Co Pte Ltd Data Quality And High-dimensional Data Analytics
Book SynopsisPoor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish.Table of ContentsGenomic Information Quality; Deep Detect: An Extensible System for Detecting Attribute Outliers and Duplifates in XML; CHARIOT: AN Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorogical Data; Assessing Data Quality within Available Context; SNP Selection for Psychiatric Disease Association Based on Allele Frequency Plots; and other papers.
£43.70
World Scientific Publishing Company Cloud Computing And Big Data Technology
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£80.00
Springer Verlag, Singapore Statistics and Data Analysis for Engineers and
Book SynopsisThis textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. Table of ContentsGeneral Overview.- Introduction to MATLAB.- The Fundamentals of Microsoft Excel.- Introduction to SPSS.
£61.74
Springer Verlag, Singapore Proceedings of Data Analytics and Management:
Book SynopsisThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.Table of ContentsChapter 1: Diagnosis of Parkinson disease using Ensemble methods for Class Imbalance Problem.- Chapter 2: A Comparative Analysis of Pneumonia Detection Using Chest X-Rays With DNN.- Chapter 3: Machine Learning Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script).- Chapter 4: Deep Learning-Based Recommendation Systems: Review and Critical Analysis.- Chapter 5: Retention in Second Year Computing Students in a London-Based University During The Post-Covid-19 Era Using Learned Optimism as a Lens: A Statistical Analysis in R.- Chapter 6: Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database.- Chapter 7: Forecasting Bitcoin Prices in the Context of the COVID19 Pandemic Using Machine Learning Approaches.- Chapter 8: Online Food Delivery Customer Churn Prediction: A Quantitative Analysis on the Performance of Machine Learning Classifiers.- Chapter 9: Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions.- Chapter 10: Renal Disease Classification using Image Processing. etc.
£179.99
Pragmatic Bookshelf Practical A/B Testing: Creating
Book Synopsis
£21.59
Nova Science Publishers, Inc. Big Data Big Impact Navigating Competition Privacy and Reform
£120.79
