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

Mastering AWS Lambda: Learn how to build and deploy serverless applications by Yohan Wadia, PDF 1786467690
How to develop successful e-learning: E-learning Indicator Methodology: Devising E-Learning Indicators: a Multidimensional Model by Majlinda Fetaji, PDF 3330080981
The Hackers Are Coming…: How-To Safely Surf The Internet by Ronald Nutter, PDF 0997113324
Developing Actionable Information to Answer Health-Related Questions Using R by Margaret Kilduff, PDF 1521072248
OS X, El Capitan by McFedries, PDF 1119173876
Erlang and Elixir for Imperative Programmers by Wolfgang Loder, PDF 1484223934

Leave a Reply

Your email address will not be published.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