Soft Computing for Data Mining Applications

Soft Computing for Data Mining Applications
Author :
Publisher : Springer
Total Pages : 354
Release :
ISBN-10 : 9783642001932
ISBN-13 : 3642001939
Rating : 4/5 (939 Downloads)

Book Synopsis Soft Computing for Data Mining Applications by : K. R. Venugopal

Download or read book Soft Computing for Data Mining Applications written by K. R. Venugopal and published by Springer. This book was released on 2009-02-24 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.


Soft Computing for Data Mining Applications Related Books

Soft Computing for Data Mining Applications
Language: en
Pages: 354
Authors: K. R. Venugopal
Categories: Computers
Type: BOOK - Published: 2009-02-24 - Publisher: Springer

GET EBOOK

The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the res
Soft Computing for Knowledge Discovery and Data Mining
Language: en
Pages: 431
Authors: Oded Maimon
Categories: Computers
Type: BOOK - Published: 2007-10-25 - Publisher: Springer Science & Business Media

GET EBOOK

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because
Data Mining
Language: en
Pages: 423
Authors: Sushmita Mitra
Categories: Computers
Type: BOOK - Published: 2005-01-21 - Publisher: John Wiley & Sons

GET EBOOK

First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the p
Soft Computing Applications for Database Technologies
Language: en
Pages: 348
Authors: K. Anbumani
Categories: Computers
Type: BOOK - Published: 2010-01-01 - Publisher: IGI Global

GET EBOOK

"This book investigates the advent of soft computing and its applications in database technologies"--Provided by publisher.
Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies
Language: en
Pages: 516
Authors: Wang, Leon Shyue-Liang
Categories: Computers
Type: BOOK - Published: 2010-03-31 - Publisher: IGI Global

GET EBOOK

"This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities for generating creative ideas of