Computational Intelligence in Data Mining - Volume 1 (Record no. 58092)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 03109nam a22005295i 4500 |
001 - CONTROL NUMBER | |
control field | 978-81-322-2205-7 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112233.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 141210s2015 ii | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9788132222057 |
-- | 978-81-322-2205-7 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
245 10 - TITLE STATEMENT | |
Title | Computational Intelligence in Data Mining - Volume 1 |
Sub Title | Proceedings of the International Conference on CIDM, 20-21 December 2014 / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XXVIII, 713 p. 327 illus. |
490 1# - SERIES STATEMENT | |
Series statement | Smart Innovation, Systems and Technologies, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | About the Conference -- Acknowledgement.- Conference Committee.- Editor's Biography.- Preface.- Table of Contents -- Chapters -- Author Index. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Jain, Lakhmi C. |
700 1# - AUTHOR 2 | |
Author 2 | Behera, Himansu Sekhar. |
700 1# - AUTHOR 2 | |
Author 2 | Mandal, Jyotsna Kumar. |
700 1# - AUTHOR 2 | |
Author 2 | Mohapatra, Durga Prasad. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-81-322-2205-7 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | New Delhi : |
-- | Springer India : |
-- | Imprint: Springer, |
-- | 2015. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data mining. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computers. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Mining and Knowledge Discovery. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computing Methodologies. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2190-3018 ; |
912 ## - | |
-- | ZDB-2-ENG |
No items available.