Data Mining And Knowledge Discovery Via Logic Based Methods

Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications (repost)

Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications by Evangelos Triantaphyllou
English | 2010 | ISBN: 1441916296 | 350 pages | PDF | 4,5 MB

The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest.
Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications (repost)

Evangelos Triantaphyllou, "Data Mining and Knowledge Discovery via Logic-Based Methods: Theory, Algorithms, and Applications"
English | 2010 | ISBN: 1441916296 | 350 pages | PDF | 4,5 MB

The importance of having efficient and effective methods for data mining and knowledge discovery (DM) is rapidly growing. This is due to the wide use of fast and affordable computing power and data storage media and also the gathering of huge amounts of data in almost all aspects of human activity and interest.
Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery

Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery: 12th International Conference, BDAS 2016, Ustroń, Poland, May 31 - June 3, 2016, Proceedings by Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bożena Malysiak-Mrozek, Daniel Kostrzewa
English | 2016 | ISBN: 3319340980 | 738 Pages | PDF | 79.8 MB

This book constitutes the refereed proceedings of the 12th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2016, held in Ustroń, Poland, in May/June 2016.
Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities

Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data) by Wesley W. Chu
English | 2013 | ISBN: 3642408362 | 350 pages | EPUB | 2.73 MB

Scientific Data Mining and Knowledge Discovery: Principles and Foundations (repost)  eBooks & eLearning

Posted by MoneyRich at Nov. 13, 2016
Scientific Data Mining and Knowledge Discovery: Principles and Foundations (repost)

Scientific Data Mining and Knowledge Discovery: Principles and Foundations by Mohamed Medhat Gaber
English | 6 Oct. 2009 | ISBN: 3642027873 | 412 Pages | PDF | 5 MB

Mohamed Medhat Gaber "It is not my aim to surprise or shock you - but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques  eBooks & eLearning

Posted by MoneyRich at Aug. 2, 2016
Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Evangelos Triantaphyllou
English | 28 Dec. 2009 | ISBN: 1441941738 | 796 Pages | PDF | 43 MB

This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications. Most theoretical developments are accompanied by extensive empirical analysis, offering a deep insight into both theoretical and practical aspects of the subject. The book presents the combined research experiences of 40 expert contributors of world renown.

Data Mining And Knowledge Discovery With Evolutionary Algorithm  eBooks & eLearning

Posted by MoneyRich at April 5, 2016
Data Mining And Knowledge Discovery With Evolutionary Algorithm

Data Mining And Knowledge Discovery With Evolutionary Algorithm by Alex A. Freitas
English | 22 Mar. 2012 | ISBN: 3642077633 | 280 Pages | PDF | 5 MB

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data.

Data Mining and Knowledge Discovery for Process Monitoring and Control  eBooks & eLearning

Posted by MoneyRich at April 5, 2016
Data Mining and Knowledge Discovery for Process Monitoring and Control

Data Mining and Knowledge Discovery for Process Monitoring and Control by Xue Z. Wang
English | 15 Oct. 1999 | ISBN: 1447111370 | 272 Pages | PDF | 8 MB

Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support.

Foundations of Data Mining and Knowledge Discovery [Repost]  eBooks & eLearning

Posted by tanas.olesya at March 31, 2016
Foundations of Data Mining and Knowledge Discovery [Repost]

Foundations of Data Mining and Knowledge Discovery by Tsau Young Lin
English | 2 Sept. 2005 | ISBN: 3540262571 | 381 Pages | PDF | 6 MB

Geographic Data Mining and Knowledge Discovery [Repost]  eBooks & eLearning

Posted by tanas.olesya at March 3, 2016
Geographic Data Mining and Knowledge Discovery [Repost]

Geographic Data Mining and Knowledge Discovery, Second Edition by Harvey J. Miller
English | 29 May 2009 | ISBN: 1420073974 | 461 Pages | PDF | 12 MB

Since the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed.