Intelligent Data Analysis And Applications

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Intelligent Data Analysis and Applications

Author : Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang
Publisher : Springer
Page : 288 pages
File Size : 55,7 Mb
Release : 2016-10-19
Category : Technology & Engineering
ISBN : 9783319484990

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Intelligent Data Analysis and Applications by Jeng-Shyang Pan,Václav Snášel,Tien-Wen Sung,Xiao Dong Wang Pdf

This book gathers papers presented at the ECC 2016, the Third Euro-China Conference on Intelligent Data Analysis and Applications, which was held in Fuzhou City, China from November 7 to 9, 2016. The aim of the ECC is to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI). The third installment of the ECC was jointly organized by Fujian University of Technology, China, and VSB-Technical University of Ostrava, Czech Republic. The conference was co-sponsored by Taiwan Association for Web Intelligence Consortium, and Immersion Co., Ltd.

Intelligent Data Analysis

Author : Michael R. Berthold,David J Hand
Publisher : Springer
Page : 515 pages
File Size : 49,8 Mb
Release : 2007-06-07
Category : Computers
ISBN : 9783540486251

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Intelligent Data Analysis by Michael R. Berthold,David J Hand Pdf

This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.

Advances in Intelligent Data Analysis and Applications

Author : Jeng-Shyang Pan,Valentina Emilia Balas,Chien-Ming Chen
Publisher : Springer Nature
Page : 379 pages
File Size : 42,8 Mb
Release : 2021-11-25
Category : Technology & Engineering
ISBN : 9789811650369

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Advances in Intelligent Data Analysis and Applications by Jeng-Shyang Pan,Valentina Emilia Balas,Chien-Ming Chen Pdf

This book constitutes the Proceeding of the Sixth International Conference on Intelligent Data Analysis and Applications, October 15–18, 2019, Arad, Romania. This edition is technically co-sponsored by “Aurel Vlaicu” University of Arad, Romania, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology), China, Romanian Academy, and General Association of Engineers in Romania - Arad Section. The book covers a range of topics: Machine Learning, Intelligent Control, Pattern Recognition, Computational Intelligence, Signal Analysis, Modeling and Visualization, Multimedia Sensing and Sensory Systems, Signal control, Imaging and Processing, Information System Security, Cryptography and Cryptanalysis, Databases and Data Mining, Information Hiding, Cloud Computing, Information Retrieval and Integration, Robotics, Control, Agents, Command, Control, Communication and Computers (C4), Swarming Technology, Sensor Technology, Smart cities. The book offers a timely, board snapshot of new development including trends and challenges that are yielding recent research directions in different areas of intelligent data analysis and applications. The book provides useful information to professors, researchers, and graduated students in area of intelligent data analysis and applications.

Intelligent Data Analysis for Biomedical Applications

Author : Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas
Publisher : Academic Press
Page : 294 pages
File Size : 53,5 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9780128156438

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Intelligent Data Analysis for Biomedical Applications by Hemanth D. Jude,Deepak Gupta,Valentina Emilia Balas Pdf

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection Contains an analysis of medical databases to provide diagnostic expert systems Addresses the integration of intelligent data analysis techniques within biomedical information systems

Intelligent Data Analysis

Author : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 40,8 Mb
Release : 2020-07-13
Category : Technology & Engineering
ISBN : 9781119544456

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Intelligent Data Analysis by Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar Pdf

This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Computational Intelligent Data Analysis for Sustainable Development

Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Page : 443 pages
File Size : 47,7 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439895955

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Computational Intelligent Data Analysis for Sustainable Development by Ting Yu,Nitesh Chawla,Simeon Simoff Pdf

Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

Intelligent Data Analysis for Real-Life Applications: Theory and Practice

Author : Magdalena-Benedito, Rafael
Publisher : IGI Global
Page : 444 pages
File Size : 54,8 Mb
Release : 2012-06-30
Category : Computers
ISBN : 9781466618077

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Intelligent Data Analysis for Real-Life Applications: Theory and Practice by Magdalena-Benedito, Rafael Pdf

With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task. Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is essential for academic and research libraries as well as students, researchers, and educators in data analysis, application development, and database management.

Advances in Intelligent Data Analysis and Applications

Author : Jeng-Shyang Pan,Valentina Emilia Balas,Chien-Ming Chen
Publisher : Unknown
Page : 0 pages
File Size : 50,5 Mb
Release : 2022
Category : Electronic
ISBN : 9811650373

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Advances in Intelligent Data Analysis and Applications by Jeng-Shyang Pan,Valentina Emilia Balas,Chien-Ming Chen Pdf

This book constitutes the Proceeding of the Sixth International Conference on Intelligent Data Analysis and Applications, October 15-18, 2019, Arad, Romania. This edition is technically co-sponsored by "Aurel Vlaicu" University of Arad, Romania, Southwest Jiaotong University, Fujian University of Technology, Chang'an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology), China, Romanian Academy, and General Association of Engineers in Romania - Arad Section. The book covers a range of topics: Machine Learning, Intelligent Control, Pattern Recognition, Computational Intelligence, Signal Analysis, Modeling and Visualization, Multimedia Sensing and Sensory Systems, Signal control, Imaging and Processing, Information System Security, Cryptography and Cryptanalysis, Databases and Data Mining, Information Hiding, Cloud Computing, Information Retrieval and Integration, Robotics, Control, Agents, Command, Control, Communication and Computers (C4), Swarming Technology, Sensor Technology, Smart cities. The book offers a timely, board snapshot of new development including trends and challenges that are yielding recent research directions in different areas of intelligent data analysis and applications. The book provides useful information to professors, researchers, and graduated students in area of intelligent data analysis and applications. .

Guide to Intelligent Data Analysis

Author : Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn
Publisher : Springer Science & Business Media
Page : 399 pages
File Size : 53,5 Mb
Release : 2010-06-23
Category : Computers
ISBN : 9781848822603

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Guide to Intelligent Data Analysis by Michael R. Berthold,Christian Borgelt,Frank Höppner,Frank Klawonn Pdf

Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

Medical Applications of Intelligent Data Analysis

Author : Rafael Magdalena Benedito,Emilio Soria-Olivas,Juan Guerrero Martínez
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2012
Category : Artificial intelligence
ISBN : 1466618035

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Medical Applications of Intelligent Data Analysis by Rafael Magdalena Benedito,Emilio Soria-Olivas,Juan Guerrero Martínez Pdf

"This book explores the potential of utilizing medical data through the implementation of developed models in practical applications"--

Intelligent Data Analysis in Medicine and Pharmacology

Author : Nada Lavrač,Elpida Keravnou-Papailiou,Blaz Zupan
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 49,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461560593

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Intelligent Data Analysis in Medicine and Pharmacology by Nada Lavrač,Elpida Keravnou-Papailiou,Blaz Zupan Pdf

Intelligent data analysis, data mining and knowledge discovery in databases have recently gained the attention of a large number of researchers and practitioners. This is witnessed by the rapidly increasing number of submissions and participants at related conferences and workshops, by the emergence of new journals in this area (e.g., Data Mining and Knowledge Discovery, Intelligent Data Analysis, etc.), and by the increasing number of new applications in this field. In our view, the awareness of these challenging research fields and emerging technologies has been much larger in industry than in medicine and pharmacology. The main purpose of this book is to present the various techniques and methods that are available for intelligent data analysis in medicine and pharmacology, and to present case studies of their application. Intelligent Data Analysis in Medicine and Pharmacology consists of selected (and thoroughly revised) papers presented at the First International Workshop on Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-96) held in Budapest in August 1996 as part of the 12th European Conference on Artificial Intelligence (ECAI-96), IDAMAP-96 was organized with the motivation to gather scientists and practitioners interested in computational data analysis methods applied to medicine and pharmacology, aimed at narrowing the increasing gap between excessive amounts of data stored in medical and pharmacological databases on the one hand, and the interpretation, understanding and effective use of stored data on the other hand. Besides the revised Workshop papers, the book contains a selection of contributions by invited authors. The expected readership of the book is researchers and practitioners interested in intelligent data analysis, data mining, and knowledge discovery in databases, particularly those who are interested in using these technologies in medicine and pharmacology. Researchers and students in artificial intelligence and statistics should find this book of interest as well. Finally, much of the presented material will be interesting to physicians and pharmacologists challenged by new computational technologies, or simply in need of effectively utilizing the overwhelming volumes of data collected as a result of improved computer support in their daily professional practice.

Intelligent Data Analysis

Author : Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 53,5 Mb
Release : 2020-04-17
Category : Technology & Engineering
ISBN : 9781119544449

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Intelligent Data Analysis by Deepak Gupta,Siddhartha Bhattacharyya,Ashish Khanna,Kalpna Sagar Pdf

This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Intelligent Data Mining

Author : Da Ruan,Guoqing Chen,Etienne E. Kerre,Geert Wets
Publisher : Springer Science & Business Media
Page : 536 pages
File Size : 49,9 Mb
Release : 2005-08-24
Category : Mathematics
ISBN : 3540262563

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Intelligent Data Mining by Da Ruan,Guoqing Chen,Etienne E. Kerre,Geert Wets Pdf

"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.

Intelligent Data Engineering and Analytics

Author : Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi
Publisher : Springer Nature
Page : 758 pages
File Size : 43,6 Mb
Release : 2020-08-29
Category : Technology & Engineering
ISBN : 9789811556791

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Intelligent Data Engineering and Analytics by Suresh Chandra Satapathy,Yu-Dong Zhang,Vikrant Bhateja,Ritanjali Majhi Pdf

This book gathers the proceedings of the 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), held at NIT Surathkal, Karnataka, India, on 4–5 January 2020. In these proceedings, researchers, scientists, engineers and practitioners share new ideas and lessons learned in the field of intelligent computing theories with prospective applications in various engineering disciplines. The respective papers cover broad areas of the information and decision sciences, and explore both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. Given its scope, the book offers a valuable resource for graduate students in various engineering disciplines.

Intelligent Data Analysis for COVID-19 Pandemic

Author : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
Publisher : Springer Nature
Page : 370 pages
File Size : 51,8 Mb
Release : 2021-06-22
Category : Technology & Engineering
ISBN : 9789811615740

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Intelligent Data Analysis for COVID-19 Pandemic by M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar Pdf

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.