東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational Intelligence in Data M...

Jain, Lakhmi C.

FindBook

Google Book

Amazon

博客來

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational Intelligence in Data Mining./ edited by Lakhmi C. Jain ... [et al.].
其他題名:	proceedings of the International Conference on CIDM, 20-21 December 2014 /
其他題名:	ICCIDM-2014
其他作者:	Jain, Lakhmi C.
出版者:	New Delhi :Springer India : : 2015.,
面頁冊數:	xxviii, 717 p. :ill., digital ;24 cm.
內容註:	About the Conference -- Acknowledgement -- Conference Committee -- Editor's Biography -- Preface -- Chapters -- Author Index.
Contained By:	Springer eBooks
標題:	Computational intelligence - Congresses. -
電子資源:	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:

1243486
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 1994582
003 DE-He213
005 20150807164537.0
006 m d
007 cr nn 008maaau
008 151019s2015 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
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 1243486
650 0 $a Data mining $3 744342
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Computing Methodologies. $3 830243
700 1 $a Jain, Lakhmi C. $3 893365
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Smart innovation, systems and technologies ; $v v.12. $3 1567852
856 4 0 $u http://dx.doi.org/10.1007/978-81-322-2202-6
950 $a Engineering (Springer-11647)