Computational Intelligence in Data Mining

Features

• Cover Type: Paperback with 166 pages
• Published by: Springer
• Edition: 1st Edition July 28, 2000
• Written in: English
• ISBN 10 Number: 3211833269
• ISBN 13 Number: 978-3211833261
• Book Dimensions: 9.2 x 6.5 x 0.5 inches
• Weighs: 10.4 ounces

Product Description
The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline "Discovering Structures in Large Databases the book starts with a unified view on 'Data Mining and Statistics  A System Point of View'. Two special techniques follow: 'Subgroup Mining', and 'Data Mining with Possibilistic Graphical Models'. "Data Fusion and Possibilistic or Fuzzy Data Analysis is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of "Classification and Decomposition adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusion learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models.

Book Info
A collection of the papers accepted for publication from the 3rd workshop on 'Computational Intelligence and Data Mining,' held in Udine, Italy, October 8-10, 1998. Several subjects are covered, including data fusion and possibilistic or fuzzy data analysis, and discovering structures in large databases. Softcover.