Computational Intelligence in Data Mining

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 'œDiscovering 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'. 'œData 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 'œClassification and Decomposition' adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section 'œLearning and Data Fusion' learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models.Della Riccia, Giacomo is the author of 'Computational Intelligence in Data Mining' with ISBN 9783211833261 and ISBN 3211833269.