| 書目名稱 | Computational Intelligence in Data Mining | | 編輯 | Giacomo Riccia,Rudolf Kruse,Hanz-J. Lenz | | 視頻video | http://file.papertrans.cn/233/232479/232479.mp4 | | 叢書名稱 | CISM International Centre for Mechanical Sciences | | 圖書封面 |  | | 描述 | 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. | | 出版日期 | Conference proceedings 2000 | | 關(guān)鍵詞 | Artificial Intelligence; Informatik; Künstliche Intelligenz / Computer Science; calculus; classification | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-7091-2588-5 | | isbn_softcover | 978-3-211-83326-1 | | isbn_ebook | 978-3-7091-2588-5Series ISSN 0254-1971 Series E-ISSN 2309-3706 | | issn_series | 0254-1971 | | copyright | Springer-Verlag Wien 2000 |
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