Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery
Author :
Publisher : Springer Science & Business Media
Total Pages : 508
Release :
ISBN-10 : 9781461555896
ISBN-13 : 1461555892
Rating : 4/5 (892 Downloads)

Book Synopsis Data Mining Methods for Knowledge Discovery by : Krzysztof J. Cios

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.


Data Mining Methods for Knowledge Discovery Related Books

Data Mining Methods for Knowledge Discovery
Language: en
Pages: 508
Authors: Krzysztof J. Cios
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery.
Knowledge Discovery and Data Mining
Language: en
Pages: 192
Authors: O. Maimon
Categories: Computers
Type: BOOK - Published: 2000-12-31 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM
Data Mining
Language: en
Pages: 601
Authors: Krzysztof J. Cios
Categories: Computers
Type: BOOK - Published: 2007-10-05 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining project
Data Mining and Knowledge Discovery Handbook
Language: en
Pages: 1378
Authors: Oded Maimon
Categories: Computers
Type: BOOK - Published: 2006-05-28 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Language: en
Pages: 272
Authors: Alex A. Freitas
Categories: Computers
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the las