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Computational Intelligence in Data M...
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Clark Conference ((2005 :)
Computational Intelligence in Data Mining.[electronic resource] :proceedings of the International Conference on CIDM, 20-21 December 2014 /Volume 3
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, 717 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Computational intelligence
標題:
Data mining
標題:
Engineering.
標題:
Computational Intelligence.
標題:
Data Mining and Knowledge Discovery.
標題:
Computing Methodologies.
ISBN:
9788132222026 (electronic bk.)
ISBN:
9788132222019 (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 for the seamless integration of 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/10.1007/978-81-322-2202-6
Computational Intelligence in Data Mining.[electronic resource] :proceedings of the International Conference on CIDM, 20-21 December 2014 /Volume 3
Computational Intelligence in Data Mining.
proceedings of the International Conference on CIDM, 20-21 December 2014 /Volume 3[electronic resource] :ICCIDM-2014edited by Lakhmi C. Jain ... [et al.]. - New Delhi :Springer India :2015. - xxviii, 717 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v.332190-3018 ;. - Smart innovation, systems and technologies ;v.12..
About the Conference -- Acknowledgement -- Conference Committee -- Editor's Biography -- Preface -- Chapters -- Author Index.
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of 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.
ISBN: 9788132222026 (electronic bk.)
Standard No.: 10.1007/978-81-322-2202-6doiSubjects--Topical Terms:
229442
Computational intelligence
LC Class. No.: QA76.9.D343
Dewey Class. No.: 006.312
Computational Intelligence in Data Mining.[electronic resource] :proceedings of the International Conference on CIDM, 20-21 December 2014 /Volume 3
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