Complex Data Analytics With Formal Concept Analysis

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Complex Data Analytics with Formal Concept Analysis

Rokia Missaoui,Léonard Kwuida,Talel Abdessalem
Complex Data Analytics with Formal Concept Analysis Book PDF

Author : Rokia Missaoui,Léonard Kwuida,Talel Abdessalem
Publisher : Springer Nature
Page : 277 pages
File Size : 41,8 Mb
Release : 2022-06-29
Category : Computers
ISBN : 9783030932787

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Complex Data Analytics with Formal Concept Analysis by Rokia Missaoui,Léonard Kwuida,Talel Abdessalem Pdf

FCA is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. Its mathematical power comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and association rule mining. Complex data analytics refers to advanced methods and tools for mining and analyzing data with complex structures such as XML/Json data, text and image data, multidimensional data, graphs, sequences and streaming data. It also covers visualization mechanisms used to highlight the discovered knowledge. This edited book examines a set of important and relevant research directions in complex data management, and updates the contribution of the FCA community in analyzing complex and large data such as knowledge graphs and interlinked contexts. For example, Formal Concept Analysis and some of its extensions are exploited, revisited and coupled with recent processing parallel and distributed paradigms to maximize the benefits in analyzing large data.

Recent Developments in Machine Learning and Data Analytics

Jugal Kalita,Valentina Emilia Balas,Samarjeet Borah,Ratika Pradhan
Recent Developments in Machine Learning and Data Analytics Book PDF

Author : Jugal Kalita,Valentina Emilia Balas,Samarjeet Borah,Ratika Pradhan
Publisher : Springer
Page : 530 pages
File Size : 46,5 Mb
Release : 2018-09-11
Category : Technology & Engineering
ISBN : 9789811312809

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Recent Developments in Machine Learning and Data Analytics by Jugal Kalita,Valentina Emilia Balas,Samarjeet Borah,Ratika Pradhan Pdf

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.

Intelligent Systems Design and Applications

Ajith Abraham,Aswani Kumar Cherukuri,Patricia Melin,Niketa Gandhi
Intelligent Systems Design and Applications Book PDF

Author : Ajith Abraham,Aswani Kumar Cherukuri,Patricia Melin,Niketa Gandhi
Publisher : Springer
Page : 1158 pages
File Size : 53,6 Mb
Release : 2019-04-11
Category : Technology & Engineering
ISBN : 9783030166571

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Intelligent Systems Design and Applications by Ajith Abraham,Aswani Kumar Cherukuri,Patricia Melin,Niketa Gandhi Pdf

This book highlights recent research on Intelligent Systems and Nature Inspired Computing. It presents 212 selected papers from the 18th International Conference on Intelligent Systems Design and Applications (ISDA 2018) and the 10th World Congress on Nature and Biologically Inspired Computing (NaBIC), which was held at VIT University, India. ISDA-NaBIC 2018 was a premier conference in the field of Computational Intelligence and brought together researchers, engineers and practitioners whose work involved intelligent systems and their applications in industry and the “real world.” Including contributions by authors from over 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Formal Concept Analysis

Florent Domenach,Dmitry Ignatov,Jonas Poelmans
Formal Concept Analysis Book PDF

Author : Florent Domenach,Dmitry Ignatov,Jonas Poelmans
Publisher : Springer
Page : 319 pages
File Size : 51,6 Mb
Release : 2012-06-25
Category : Computers
ISBN : 9783642298929

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Formal Concept Analysis by Florent Domenach,Dmitry Ignatov,Jonas Poelmans Pdf

This book constitutes the refereed proceedings of the 10th International Conference on Formal Concept Analysis, ICFCA 2012, held in Leuven, Belgium in May 2012. The 20 revised full papers presented together with 6 invited talks were carefully reviewed and selected from 68 submissions. The topics covered in this volume range from recent advances in machine learning and data mining; mining terrorist networks and revealing criminals; concept-based process mining; to scalability issues in FCA and rough sets.

Big Data Quantification for Complex Decision-Making

Zhang, Chao,Li, Wentao
Big Data Quantification for Complex Decision Making Book PDF

Author : Zhang, Chao,Li, Wentao
Publisher : IGI Global
Page : 328 pages
File Size : 43,9 Mb
Release : 2024-04-16
Category : Business & Economics
ISBN : 9798369315835

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Big Data Quantification for Complex Decision-Making by Zhang, Chao,Li, Wentao Pdf

Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.

Big Data in Complex Systems

Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
Big Data in Complex Systems Book PDF

Author : Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy
Publisher : Springer
Page : 502 pages
File Size : 53,5 Mb
Release : 2015-01-02
Category : Technology & Engineering
ISBN : 9783319110561

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Big Data in Complex Systems by Aboul Ella Hassanien,Ahmad Taher Azar,Vaclav Snasael,Janusz Kacprzyk,Jemal H. Abawajy Pdf

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.

Encyclopedia of Business Analytics and Optimization

Wang, John
Encyclopedia of Business Analytics and Optimization Book PDF

Author : Wang, John
Publisher : IGI Global
Page : 2862 pages
File Size : 46,5 Mb
Release : 2014-02-28
Category : Business & Economics
ISBN : 9781466652033

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Encyclopedia of Business Analytics and Optimization by Wang, John Pdf

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Analysis of Large and Complex Data

Adalbert F.X. Wilhelm,Hans A. Kestler
Analysis of Large and Complex Data Book PDF

Author : Adalbert F.X. Wilhelm,Hans A. Kestler
Publisher : Springer
Page : 656 pages
File Size : 53,8 Mb
Release : 2016-08-03
Category : Computers
ISBN : 9783319252261

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Analysis of Large and Complex Data by Adalbert F.X. Wilhelm,Hans A. Kestler Pdf

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.

Data Science Foundations

Fionn Murtagh
Data Science Foundations Book PDF

Author : Fionn Murtagh
Publisher : CRC Press
Page : 256 pages
File Size : 45,6 Mb
Release : 2017-09-22
Category : Computers
ISBN : 9781315350493

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Data Science Foundations by Fionn Murtagh Pdf

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods...a very useful text and I would certainly use it in my teaching." - Mark Girolami, Warwick University Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.

Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19)

Sergey Kovalev,Valery Tarassov,Vaclav Snasel,Andrey Sukhanov
Proceedings of the Fourth International Scientific Conference Intelligent Information Technologies for Industry IITI 19 Book PDF

Author : Sergey Kovalev,Valery Tarassov,Vaclav Snasel,Andrey Sukhanov
Publisher : Springer Nature
Page : 713 pages
File Size : 43,5 Mb
Release : 2020-06-22
Category : Technology & Engineering
ISBN : 9783030500979

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Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19) by Sergey Kovalev,Valery Tarassov,Vaclav Snasel,Andrey Sukhanov Pdf

This book gathers papers presented in the main track of IITI 2019, the Fourth International Scientific Conference on Intelligent Information Technologies for Industry, held in Ostrava–Prague, Czech Republic on December 2–7, 2019. The conference was jointly organized by Rostov State Transport University (Russia) and VŠB – Technical University of Ostrava (Czech Republic) with the participation of the Russian Association for Artificial Intelligence (RAAI). IITI 2019 was devoted to practical models and industrial applications of intelligent information systems. Though chiefly intended to promote the implementation of advanced information technologies in various industries, topics such as the state of the art in intelligent systems and soft computing were also discussed.

Formal Concept Analysis of Social Networks

Rokia Missaoui,Sergei O. Kuznetsov,Sergei Obiedkov
Formal Concept Analysis of Social Networks Book PDF

Author : Rokia Missaoui,Sergei O. Kuznetsov,Sergei Obiedkov
Publisher : Springer
Page : 195 pages
File Size : 52,9 Mb
Release : 2017-11-03
Category : Computers
ISBN : 9783319641676

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Formal Concept Analysis of Social Networks by Rokia Missaoui,Sergei O. Kuznetsov,Sergei Obiedkov Pdf

The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.

Complex Systems: Spanning Control and Computational Cybernetics: Foundations

Peng Shi,Jovan Stefanovski,Janusz Kacprzyk
Complex Systems Spanning Control and Computational Cybernetics Foundations Book PDF

Author : Peng Shi,Jovan Stefanovski,Janusz Kacprzyk
Publisher : Springer Nature
Page : 505 pages
File Size : 54,5 Mb
Release : 2022-08-24
Category : Technology & Engineering
ISBN : 9783030997762

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Complex Systems: Spanning Control and Computational Cybernetics: Foundations by Peng Shi,Jovan Stefanovski,Janusz Kacprzyk Pdf

This book, dedicated to Professor Georgi M. Dimirovski on his anniversary, contains new research directions, challenges, and many relevant applications related to many aspects within the broadly perceived areas of systems and control, including signal analysis and intelligent systems. The project comprises two volumes with papers written by well known and very active researchers and practitioners. The first volume is focused on more foundational aspects related to general issues in systems science and mathematical systems, various problems in control and automation, and the use of computational and artificial intelligence in the context of systems modeling and control. The second volume is concerned with a presentation of relevant applications, notably in robotics, computer networks, telecommunication, fault detection/diagnosis, as well as in biology and medicine, and economic, financial, and social systems too.

Technologies and Applications for Big Data Value

Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner
Technologies and Applications for Big Data Value Book PDF

Author : Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner
Publisher : Springer Nature
Page : 555 pages
File Size : 40,9 Mb
Release : 2022
Category : Application software
ISBN : 9783030783075

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Technologies and Applications for Big Data Value by Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner Pdf

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Knowledge Graphs and Big Data Processing

Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger
Knowledge Graphs and Big Data Processing Book PDF

Author : Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger
Publisher : Springer Nature
Page : 212 pages
File Size : 41,8 Mb
Release : 2020-07-15
Category : Computers
ISBN : 9783030531997

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Knowledge Graphs and Big Data Processing by Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger Pdf

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.

Next Generation Data Technologies for Collective Computational Intelligence

Nik Bessis,Fatos Xhafa
Next Generation Data Technologies for Collective Computational Intelligence Book PDF

Author : Nik Bessis,Fatos Xhafa
Publisher : Springer
Page : 638 pages
File Size : 41,7 Mb
Release : 2011-06-29
Category : Technology & Engineering
ISBN : 9783642203442

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Next Generation Data Technologies for Collective Computational Intelligence by Nik Bessis,Fatos Xhafa Pdf

This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.