Knowledge Processing And Data Analysis

Download Knowledge Processing And Data Analysis full books in PDF, epub, and Kindle. Read online Knowledge Processing And Data Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Knowledge Processing and Data Analysis

Author : Karl Erich Wolff
Publisher : Springer Science & Business Media
ISBN 13 : 3642221394
Total Pages : 336 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Knowledge Processing and Data Analysis by : Karl Erich Wolff

Download or read book Knowledge Processing and Data Analysis written by Karl Erich Wolff and published by Springer Science & Business Media. This book was released on 2011-07-28 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Conference on Knowledge - Ontology - Theory (KONT 2007) held in Novosibirsk, Russia, in September 2007 and the First International Conference on Knowledge Processing in Practice (KPP 2007) held in Darmstadt, Germany, in September 2007. The 21 revised full papers were carefully reviewed and selected from numerous submissions and cover four main focus areas: applications of conceptual structures; concept based software; ontologies as conceptual structures; and data analysis.

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer
ISBN 13 : 9783030531980
Total Pages : 209 pages
Book Rating : 4.5/5 (319 download)

DOWNLOAD NOW!

Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer. This book was released on 2020-07-16 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Learning Representation for Multi-View Data Analysis

Author : Zhengming Ding
Publisher : Springer
ISBN 13 : 3030007340
Total Pages : 268 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Learning Representation for Multi-View Data Analysis by : Zhengming Ding

Download or read book Learning Representation for Multi-View Data Analysis written by Zhengming Ding and published by Springer. This book was released on 2018-12-06 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal. A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.

Artificial Intelligence and Knowledge Processing: Methods and Applications

Author : Hemachandran K.
Publisher : Bentham Science Publishers
ISBN 13 : 9815165747
Total Pages : 241 pages
Book Rating : 4.8/5 (151 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Knowledge Processing: Methods and Applications by : Hemachandran K.

Download or read book Artificial Intelligence and Knowledge Processing: Methods and Applications written by Hemachandran K. and published by Bentham Science Publishers. This book was released on 2023-11-24 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: · Showcases a wide range of AI applications · Bridges theory and practice with real-word insights · Uses accessible language to explain complex AI concepts · Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

Discovering Knowledge in Data

Author : Daniel T. Larose
Publisher : John Wiley & Sons
ISBN 13 : 1118873572
Total Pages : 336 pages
Book Rating : 4.1/5 (188 download)

DOWNLOAD NOW!

Book Synopsis Discovering Knowledge in Data by : Daniel T. Larose

Download or read book Discovering Knowledge in Data written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2014-06-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

Knowledge Processing and Data Analysis

Author : Karl Erich Wolff
Publisher :
ISBN 13 :
Total Pages : 321 pages
Book Rating : 4.:/5 (747 download)

DOWNLOAD NOW!

Book Synopsis Knowledge Processing and Data Analysis by : Karl Erich Wolff

Download or read book Knowledge Processing and Data Analysis written by Karl Erich Wolff and published by . This book was released on 2011 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Feature Selection for Knowledge Discovery and Data Mining

Author : Huan Liu
Publisher : Springer Science & Business Media
ISBN 13 : 1461556899
Total Pages : 225 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!

Book Synopsis Feature Selection for Knowledge Discovery and Data Mining by : Huan Liu

Download or read book Feature Selection for Knowledge Discovery and Data Mining written by Huan Liu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in two dimensions, number of features (N) and number of instances (P). Both Nand P can be enormously large. This enormity may cause serious problems to many data mining systems. Feature selection is one of the long existing methods that deal with these problems. Its objective is to select a minimal subset of features according to some reasonable criteria so that the original task can be achieved equally well, if not better. By choosing a minimal subset offeatures, irrelevant and redundant features are removed according to the criterion. When N is reduced, the data space shrinks and in a sense, the data set is now a better representative of the whole data population. If necessary, the reduction of N can also give rise to the reduction of P by eliminating duplicates.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII

Author : Abdelkader Hameurlain
Publisher : Springer Nature
ISBN 13 : 3662629194
Total Pages : 247 pages
Book Rating : 4.6/5 (626 download)

DOWNLOAD NOW!

Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII by : Abdelkader Hameurlain

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII written by Abdelkader Hameurlain and published by Springer Nature. This book was released on 2021-01-16 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 47th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue focusing on Digital Ecosystems and Social Networks. The 9 revised selected papers cover topics that include Social Big Data, Data Analysis, Cloud-Based Feedback, Experience Ecosystems, Pervasive Environments, and Smart Systems.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV

Author : Abdelkader Hameurlain
Publisher : Springer Nature
ISBN 13 : 3662623080
Total Pages : 221 pages
Book Rating : 4.6/5 (626 download)

DOWNLOAD NOW!

Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV by : Abdelkader Hameurlain

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV written by Abdelkader Hameurlain and published by Springer Nature. This book was released on 2020-09-19 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.

Numeric Computation and Statistical Data Analysis on the Java Platform

Author : Sergei V. Chekanov
Publisher : Springer
ISBN 13 : 3319285319
Total Pages : 620 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Numeric Computation and Statistical Data Analysis on the Java Platform by : Sergei V. Chekanov

Download or read book Numeric Computation and Statistical Data Analysis on the Java Platform written by Sergei V. Chekanov and published by Springer. This book was released on 2016-03-23 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language. The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages. Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students.

Cognitive Computing and Big Data Analytics

Author : Judith S. Hurwitz
Publisher : John Wiley & Sons
ISBN 13 : 1118896637
Total Pages : 288 pages
Book Rating : 4.1/5 (188 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Computing and Big Data Analytics by : Judith S. Hurwitz

Download or read book Cognitive Computing and Big Data Analytics written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2015-02-12 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Concept Lattices

Author : Peter Eklund
Publisher : Springer
ISBN 13 : 3540246517
Total Pages : 420 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Concept Lattices by : Peter Eklund

Download or read book Concept Lattices written by Peter Eklund and published by Springer. This book was released on 2011-04-02 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of ICFCA 2004, the 2nd International Conference on Formal Concept Analysis. The ICFCA conference series aims to be the premier forum for the publication of advances in applied lattice and order theory and in particular scienti?c advances related to formal concept analysis. Formal concept analysis emerged in the 1980s from e?orts to restructure lattice theory to promote better communication between lattice theorists and potentialusersoflatticetheory.Sincethen,the?eldhasdevelopedintoagrowing research area in its own right with a thriving theoretical community and an increasing number of applications in data and knowledge processing including data visualization, information retrieval, machine learning, data analysis and knowledge management. In terms of theory, formal concept analysis has been extended into attribute exploration, Boolean judgment, contextual logic and so on to create a powerful general framework for knowledge representation and reasoning. This conference aims to unify theoretical and applied practitioners who use formal concept an- ysis, drawing on the ?elds of mathematics, computer and library sciences and software engineering. The theme of the 2004 conference was ‘Concept Lattices” to acknowledge the colloquial term used for the line diagrams that appear in almost every paper in this volume. ICFCA 2004 included tutorial sessions, demonstrating the practical bene?ts of formal concept analysis, and highlighted developments in the foundational theory and standards. The conference showcased the increasing variety of formal concept analysis software and included eight invited lectures from distinguished speakersinthe?eld.Sevenoftheeightinvitedspeakerssubmittedaccompanying papers and these were reviewed and appear in this volume.

Process Analytics

Author : Seyed-Mehdi-Reza Beheshti
Publisher : Springer
ISBN 13 : 331925037X
Total Pages : 178 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Process Analytics by : Seyed-Mehdi-Reza Beheshti

Download or read book Process Analytics written by Seyed-Mehdi-Reza Beheshti and published by Springer. This book was released on 2016-03-28 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is needed to identify, understand and improve business processes. The book chiefly focuses on concepts, techniques and methods. It covers a large body of knowledge on process analytics – including process data querying, analysis, matching and correlating process data and models – to help practitioners and researchers understand the underlying concepts, problems, methods, tools and techniques involved in modern process analytics. Following an introduction to basic business process and process analytics concepts, it describes the state of the art in this area before examining different analytics techniques in detail. In this regard, the book covers analytics over different levels of process abstractions, from process execution data and methods for linking and correlating process execution data, to inferring process models, querying process execution data and process models, and scalable process data analytics methods. In addition, it provides a review of commercial process analytics tools and their practical applications. The book is intended for a broad readership interested in business process management and process analytics. It provides researchers with an introduction to these fields by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in business process management to graduate courses in business process analytics. Lastly, it offers professionals a reference guide to the state of the art in commercial tools and techniques, complemented by many real-world use case scenarios.

Cooperative Knowledge Processing for Engineering Design

Author : Arthur B. Baskin
Publisher : Springer
ISBN 13 : 0387353577
Total Pages : 408 pages
Book Rating : 4.3/5 (873 download)

DOWNLOAD NOW!

Book Synopsis Cooperative Knowledge Processing for Engineering Design by : Arthur B. Baskin

Download or read book Cooperative Knowledge Processing for Engineering Design written by Arthur B. Baskin and published by Springer. This book was released on 2013-06-29 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cooperative working environments and their development are becoming increasingly important and ever more frequent in different industrial sectors and this book provides a scientific approach for managing Team Engineering. Meta-cognitive knowledge and networks are identified as the key resources enabling engineering teams to work effectively and to reduce engineering time and this book illustrates how computer support can aid cooperative work within the context of practical methodologies and examples. The fields covered in the book include: State-of-the-art research in cooperative learning tools; Practical examples and methodologies illustrating the implementation of cooperative networks; and An interdisciplinary approach to team engineering. This valuable new book is sponsored by the International Federation for Information Processing (IFIP) and will be essential reading for researchers, engineers, technical managers involved in the development of advanced applications for engineering and manufacturing, and software design and engineering.

Scientific Data Analysis using Jython Scripting and Java

Author : Sergei V. Chekanov
Publisher : Springer Science & Business Media
ISBN 13 : 1849962871
Total Pages : 452 pages
Book Rating : 4.8/5 (499 download)

DOWNLOAD NOW!

Book Synopsis Scientific Data Analysis using Jython Scripting and Java by : Sergei V. Chekanov

Download or read book Scientific Data Analysis using Jython Scripting and Java written by Sergei V. Chekanov and published by Springer Science & Business Media. This book was released on 2010-08-05 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-analysis framework, the book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets (of around 10-20 lines each) written in Jython and Java, plus several real-life examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first data-analysis and data-mining book which is completely based on the Jython language, and opens doors to scripting using a fully multi-platform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book.

Complex Sport Analytics

Author : Felix Lebed
Publisher : Taylor & Francis
ISBN 13 : 1317434765
Total Pages : 298 pages
Book Rating : 4.3/5 (174 download)

DOWNLOAD NOW!

Book Synopsis Complex Sport Analytics by : Felix Lebed

Download or read book Complex Sport Analytics written by Felix Lebed and published by Taylor & Francis. This book was released on 2017-05-12 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first to combine principles from analytics, complex systems theory, multi-disciplinary diagnostics and sport performance analysis. It considers athletes, teams, and sport organizations in individual and team games as complex systems, and demonstrates how complexity studies can enrich analytics and give us a more sophisticated understanding of the causalities of winning and losing in sports. Part I introduces the basic categories of analytics and their uses in elite sport. Part II presents an original conception of sport analytics both as a complex of different kinds of processes and as a complexity-adapted view of human systems acting in sport performance and management. Part III considers the main principles of complex sport analytics, expanding the prism of complexity to include all levels of a sport organization from athletes, coaches and trainers to top decision makers, and suggests practical applications and simulations for cases of both individual and team sports. This is illuminating reading for any advanced student, researcher or practitioner working in sport analytics, performance analysis, coaching science or sport management.