Computational Intelligence in Data Mining.: Volume 3: [electronic resource] :: Proceedings of the International Conference on CIDM, 20-21 December 2014 /: Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra, editors.

Jain, L. C.,; Behera, Himansu Sekhar,; Mandal, Jyotsna Kumar,; Mohapatra, Durga Prasad,

doi:10.1007/978-81-322-2202-6

Computational Intelligence in Data Mining. Volume 3 [electronic resource] : Proceedings of the International Conference on CIDM, 20-21 December 2014 / Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra, editors.

International Conference on "Computational Intelligence in Data Mining" (1st : 2014 : Burla, India); Jain, L. C., editor.; Behera, Himansu Sekhar, editor.; Mandal, Jyotsna Kumar, editor.; Mohapatra, Durga Prasad, editor.

2015

QA76.9.D343

Available Online

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Title

Computational Intelligence in Data Mining. Volume 3 [electronic resource] : Proceedings of the International Conference on CIDM, 20-21 December 2014 / Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra, editors.

Meeting Name

International Conference on "Computational Intelligence in Data Mining" (1st : 2014 : Burla, India)

ISBN

9788132222026 electronic book
8132222024 electronic book
9788132222019
8132222016 (print)
9788132222019 (print)

DOI

https://doi.org/10.1007/978-81-322-2202-6

Published

New Delhi, India : Springer, 2015.

Language

English

Description

1 online resource (xxviii, 717 pages) : illustrations.

Item Number

10.1007/978-81-322-2202-6 doi

Call Number

QA76.9.D343

Dewey Decimal Classification

006.3/12

Summary

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.

Note

Includes author index.

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Access limited to authorized users.

Added Author

Jain, L. C., editor.
Behera, Himansu Sekhar, editor.
Mandal, Jyotsna Kumar, editor.
Mohapatra, Durga Prasad, editor.

Series

Smart innovation. systems. and technologies ; volume 33.

Available in Other Form

Print version: 9788132222019

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