國立高雄大學圖資館 |

Language: English

Back

Computational Intelligence in Data M...

(1998 :)

Computational Intelligence in Data Mining.proceedings of the International Conference on CIDM, 20-21 December 2014 /Volume 3

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.
corporate name:
Published:	New Delhi :Springer India :2015.
Description:	xxviii, 717 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computational intelligenceCongresses.
Online resource:	http://dx.doi.org/10.1007/978-81-322-2202-6
ISBN:	9788132222026 (electronic bk.)

Computational Intelligence in Data Mining.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:

384502
Computational intelligence
--Congresses.

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 3
LDR:02289nmm a2200337 a 4500 001 461117
003 DE-He213
005 20150807164537.0
006 m d
007 cr nn 008maaau
008 151110s2015 ii s 0 eng d
020 $a 9788132222026 (electronic bk.)
020 $a 9788132222019 (paper)
024 7 $a 10.1007/978-81-322-2202-6 $2 doi
035 $a 978-81-322-2202-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b I61 2014
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Computational Intelligence in Data Mining. $n Volume 3 $h [electronic resource] : $b proceedings of the International Conference on CIDM, 20-21 December 2014 / $c edited by Lakhmi C. Jain ... [et al.].
246 3 $a ICCIDM-2014
260 $a New Delhi : $b Springer India : $b Imprint: Springer, $c 2015.
300 $a xxviii, 717 p. : $b ill., digital ; $c 24 cm.
490 1 $a Smart innovation, systems and technologies, $x 2190-3018 ; $v v.33
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 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.
650 0 $a Computational intelligence $v Congresses. $3 384502
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Computing Methodologies. $3 274528
700 1 $a Jain, Lakhmi C. $3 276563
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Smart innovation, systems and technologies ; $v v.12. $3 559898
856 4 0 $u http://dx.doi.org/10.1007/978-81-322-2202-6
950 $a Engineering (Springer-11647)