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Computational intelligence in data m...

Jain, Lakhmi C.

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Computational intelligence in data mining. = proceedings of the International Conference on CIDM, 20-21 December 2014 /. Volume 2

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence in data mining./ edited by Lakhmi C. Jain ... [et al.].
Reminder of title:	proceedings of the International Conference on CIDM, 20-21 December 2014 /
remainder title:	ICCIDM-2014
other author:	Jain, Lakhmi C.
Published:	New Delhi :Springer India : : 2015.,
Description:	xxviii, 707 p. :ill., digital ;24 cm.
[NT 15003449]:	About the Conference -- Acknowledgement -- Conference Committee -- Editor's Biography -- Preface -- Chapters -- Author Index.
Contained By:	Springer eBooks
Subject:	Data mining -
Online resource:	http://dx.doi.org/10.1007/978-81-322-2208-8
ISBN:	9788132222088 (electronic bk.)

Computational intelligence in data mining. = proceedings of the International Conference on CIDM, 20-21 December 2014 /. Volume 2
Computational intelligence in data mining.proceedings of the International Conference on CIDM, 20-21 December 2014 /Volume 2[electronic resource] :ICCIDM-2014edited by Lakhmi C. Jain ... [et al.]. - New Delhi :Springer India :2015. - xxviii, 707 p. :ill., digital ;24 cm. - Smart innovation, systems and technologies,v.322190-3018 ;. - 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 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.

ISBN: 9788132222088 (electronic bk.)

Standard No.: 10.1007/978-81-322-2208-8doiSubjects--Topical Terms:

744342
Data mining

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Computational intelligence in data mining. = proceedings of the International Conference on CIDM, 20-21 December 2014 /. Volume 2
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505 0 $a About the Conference -- Acknowledgement -- Conference Committee -- Editor's Biography -- Preface -- Chapters -- Author Index.
520 $a 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.
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