Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Computational intelligence in data m...
~
SpringerLink (Online service)
Computational intelligence in data mining. = proceedings of the International Conference on CIDM, 20-21 December 2014 /. Volume 2
Record Type:
Language materials, printed : 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:
Workshop on the Preservation of Stability under Discretization
Published:
New Delhi :Springer India : : 2015.,
Description:
xxviii, 707 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Data mining - Congresses. -
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 ;16..
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:
528575
Data mining
--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 2
LDR
:02296nam a2200337 a 4500
001
835683
003
DE-He213
005
20150807165037.0
006
m d
007
cr nn 008maaau
008
160421s2015 ii s 0 eng d
020
$a
9788132222088 (electronic bk.)
020
$a
9788132222071 (paper)
024
7
$a
10.1007/978-81-322-2208-8
$2
doi
035
$a
978-81-322-2208-8
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
$a
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
245
1 0
$a
Computational intelligence in data mining.
$n
Volume 2
$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 :
$c
2015.
$b
Springer India :
$b
Imprint: Springer,
300
$a
xxviii, 707 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Smart innovation, systems and technologies,
$x
2190-3018 ;
$v
v.32
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.
650
0
$a
Data mining
$v
Congresses.
$3
528575
650
0
$a
Computational intelligence
$v
Congresses.
$3
569147
$3
727813
650
1 4
$a
Engineering.
$3
561152
650
2 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Computing Methodologies.
$3
640210
700
1
$a
Jain, Lakhmi C.
$3
671306
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Smart innovation, systems and technologies ;
$v
16.
$3
885522
856
4 0
$u
http://dx.doi.org/10.1007/978-81-322-2208-8
950
$a
Engineering (Springer-11647)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login