Computational intelligence in data m...
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  • Computational intelligence in data mining.[electronic resource] :proceedings of the International Conference on CIDM, 20-21 December 2014 /Volume 2
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 006.312
    書名/作者: Computational intelligence in data mining. : proceedings of the International Conference on CIDM, 20-21 December 2014 // edited by Lakhmi C. Jain ... [et al.].
    其他題名: ICCIDM-2014
    其他作者: Jain, Lakhmi C.
    團體作者: Clark Conference
    出版者: New Delhi : : Springer India :, 2015.
    面頁冊數: xxviii, 707 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Data mining
    標題: Computational intelligence
    標題: Engineering.
    標題: Computational Intelligence.
    標題: Data Mining and Knowledge Discovery.
    標題: Computing Methodologies.
    ISBN: 9788132222088 (electronic bk.)
    ISBN: 9788132222071 (paper)
    內容註: About the Conference -- Acknowledgement -- Conference Committee -- Editor's Biography -- Preface -- Chapters -- Author Index.
    摘要、提要註: The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations’ databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.
    電子資源: http://dx.doi.org/10.1007/978-81-322-2208-8
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