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Computational Intelligence in Data Mining [electronic resource] : Proceedings of the International Conference on CIDM, 10-11 December 2016 / edited by Himansu Sekhar Behera, Durga Prasad Mohapatra.

Contributor(s): Behera, Himansu Sekhar [editor.] | Mohapatra, Durga Prasad [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Advances in Intelligent Systems and Computing: 556Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIX, 847 p. 372 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811038747.Subject(s): Computational intelligence | Data mining | Artificial intelligence | Computational Intelligence | Data Mining and Knowledge Discovery | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Preface -- About the Conference -- About the Editors -- Conference Organising Committee -- Table of Contents -- 79 Chapters -- Author Index.
In: Springer Nature eBookSummary: The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, along with current issues and applications of related topics. The volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science. .
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Preface -- About the Conference -- About the Editors -- Conference Organising Committee -- Table of Contents -- 79 Chapters -- Author Index.

The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, along with current issues and applications of related topics. The volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science. .

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