TY  - BOOK
AU  - Jain,Lakhmi C.
AU  - Behera,Himansu Sekhar
AU  - Mandal,Jyotsna Kumar
AU  - Mohapatra,Durga Prasad
ED  - SpringerLink (Online service)
TI  - Computational Intelligence in Data Mining - Volume 3: Proceedings of the International Conference on CIDM, 20-21 December 2014 
T2  - Smart Innovation, Systems and Technologies,
SN  - 9788132222026
AV  - Q342 
U1  - 006.3 23
PY  - 2015///
CY  - New Delhi
PB  - Springer India, Imprint: Springer
KW  - Engineering
KW  - Data mining
KW  - Computers
KW  - Computational intelligence
KW  - Computational Intelligence
KW  - Data Mining and Knowledge Discovery
KW  - Computing Methodologies
KW  - Electronic books
KW  - local
N1  - About the Conference -- Acknowledgement -- Conference Committee -- Editor's Biography -- Preface -- Chapters -- Author Index
N2  - 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
UR  - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-81-322-2202-6
ER  -