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 Databasesโ the book starts with a unified view on โData Mining and Statistics โ A System Point of Viewโ. Two special techniques follow: โSubgroup Miningโ, and โData Mining with Possibilistic Graphical Modelsโ. "Data Fusion and Possibilistic or Fuzzy Data Analysisโ 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 Decompositionโ adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusionโ learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models.