Data Mining And Knowledge Discovery With Evolutionary Algorithms

Author : Alex A. Freitas
Publisher : Springer Science & Business Media
ISBN 13 : 3662049236
Total Pages : 272 pages
Book Rating : 4.35/5 ( download)

DOWNLOAD NOW!

Download or read book Data Mining and Knowledge Discovery with Evolutionary Algorithms written by Alex A. Freitas and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics

Author : Alex A. Freitas
Publisher : Springer Science & Business Media
ISBN 13 : 9783540433316
Total Pages : 284 pages
Book Rating : 4.17/5 ( download)

DOWNLOAD NOW!

Download or read book Data Mining and Knowledge Discovery with Evolutionary Algorithms written by Alex A. Freitas and published by Springer Science & Business Media. This book was released on 2002-08-21 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics

Author : Alex A. Freitas
Publisher :
ISBN 13 : 9783662049242
Total Pages : 284 pages
Book Rating : 4.44/5 ( download)

DOWNLOAD NOW!

Download or read book Data Mining and Knowledge Discovery with Evolutionary Algorithms written by Alex A. Freitas and published by . This book was released on 2014-01-15 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ashish Ghosh
Publisher : Springer Science & Business Media
ISBN 13 : 3540774661
Total Pages : 169 pages
Book Rating : 4.62/5 ( download)

DOWNLOAD NOW!

Download or read book Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases written by Ashish Ghosh and published by Springer Science & Business Media. This book was released on 2008-03-19 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine data from large databases.

Author : Freitas Alex A.
Publisher :
ISBN 13 : 9788181287915
Total Pages : 265 pages
Book Rating : 4.16/5 ( download)

DOWNLOAD NOW!

Download or read book Data Mining And Knowledge Discovery With Evolutionary Algorithms written by Freitas Alex A. and published by . This book was released on 2007-10-01 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Ashish Ghosh
Publisher : Springer
ISBN 13 : 3540323589
Total Pages : 279 pages
Book Rating : 4.87/5 ( download)

DOWNLOAD NOW!

Download or read book Evolutionary Computation in Data Mining written by Ashish Ghosh and published by Springer. This book was released on 2006-06-22 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining (DM) consists of extracting interesting knowledge from re- world, large & complex data sets; and is the core step of a broader process, called the knowledge discovery from databases (KDD) process. In addition to the DM step, which actually extracts knowledge from data, the KDD process includes several preprocessing (or data preparation) and post-processing (or knowledge refinement) steps. The goal of data preprocessing methods is to transform the data to facilitate the application of a (or several) given DM algorithm(s), whereas the goal of knowledge refinement methods is to validate and refine discovered knowledge. Ideally, discovered knowledge should be not only accurate, but also comprehensible and interesting to the user. The total process is highly computation intensive. The idea of automatically discovering knowledge from databases is a very attractive and challenging task, both for academia and for industry. Hence, there has been a growing interest in data mining in several AI-related areas, including evolutionary algorithms (EAs). The main motivation for applying EAs to KDD tasks is that they are robust and adaptive search methods, which perform a global search in the space of candidate solutions (for instance, rules or another form of knowledge representation).

Author : Krzysztof J. Cios
Publisher : Springer Science & Business Media
ISBN 13 : 1461555892
Total Pages : 508 pages
Book Rating : 4.96/5 ( download)

DOWNLOAD NOW!

Download or read book Data Mining Methods for Knowledge Discovery written by Krzysztof J. Cios and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

Author : Nikhil Pal
Publisher : Springer Science & Business Media
ISBN 13 : 1846281830
Total Pages : 264 pages
Book Rating : 4.39/5 ( download)

DOWNLOAD NOW!

Download or read book Advanced Techniques in Knowledge Discovery and Data Mining written by Nikhil Pal and published by Springer Science & Business Media. This book was released on 2007-12-31 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.

Author : Felici, Giovanni
Publisher : IGI Global
ISBN 13 : 1599045303
Total Pages : 394 pages
Book Rating : 4.06/5 ( download)

DOWNLOAD NOW!

Download or read book Mathematical Methods for Knowledge Discovery and Data Mining written by Felici, Giovanni and published by IGI Global. This book was released on 2007-10-31 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.

Author : Ashish Ghosh
Publisher : Springer Science & Business Media
ISBN 13 : 3642189652
Total Pages : 1001 pages
Book Rating : 4.54/5 ( download)

DOWNLOAD NOW!

Download or read book Advances in Evolutionary Computing written by Ashish Ghosh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 1001 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.