Foundations and Advances in Data Mining (Studies in Fuzziness and Soft Computing) by Tsau Young Lin, PDF 3642425380

Foundations and Advances in Data Mining (Studies in Fuzziness and Soft Computing)

  • Title: Foundations and Advances in Data Mining (Studies in Fuzziness and Soft Computing)
  • Autor: Tsau Young Lin
  • Publisher (Publication Date): Springer; 2005 edition (November 15, 2014)
  • Language: English
  • ISBN-10: | 3642425380
  • ISBN-13: | 978-3642425387
  • File Format: EPUB, PDF

 

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the “data rich and information poor” syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

No reviews

Comments:


Related posts

Rob|Arch 2012: Robotic Fabrication in Architecture, Art and Design by Johannes Braumann, PDF 3709119758
IT Infrastructure Architecture – Infrastructure Building Blocks and Concepts Third Edition by Sjaak Laan, PDF 1326912976
Learning Network Programming with Java by Richard M Reese, PDF 1785885472
Introduction to Cable TV (CATV): Systems, Services, Operation, and Technology by Lawrence Harte, PDF 1932813187
Understanding Network Hacks: Attack and Defense with Python by Bastian Ballmann, PDF 3662508621
PowerShell 6: Guide for Beginners by Robert Collins, PDF 1975875567

Leave a Reply

Your email address will not be published. Required fields are marked *