Menu Close

Computational Intelligence in Data Mining - Volume 3

Computational Intelligence in Data Mining - Volume 3
  • Author: Lakhmi C. Jain
  • Publisher: Springer
  • ISBN: 8132235681
  • Page: 717
  • View: 198

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.

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.


More Books:

Computational Intelligence in Data Mining - Volume 3
Language: en
Pages: 717
Authors: Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra
Categories: Computers
Type: BOOK - Published: 2016-09-10 - Publisher: Springer

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
Computational Intelligence in Data Mining - Volume 3
Language: en
Pages: 717
Authors: Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra
Categories: Computers
Type: BOOK - Published: 2014-12-11 - Publisher: Springer

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
Computational Intelligence in Data Mining - Volume 3
Language: en
Pages: 717
Authors: Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra
Categories: Computers
Type: BOOK - Published: 2014-12-30 - Publisher: Springer

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
Computational Intelligence in Data Mining
Language: en
Pages: 847
Authors: Himansu Sekhar Behera, Durga Prasad Mohapatra
Categories: Computers
Type: BOOK - Published: 2017-05-19 - Publisher: Springer

The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions
Computational Intelligence in Data Mining—Volume 2
Language: en
Pages: 520
Authors: Himansu Sekhar Behera, Durga Prasad Mohapatra
Categories: Computers
Type: BOOK - Published: 2015-12-09 - Publisher: Springer

The book is a collection of high-quality peer-reviewed research papers presented in the Second International Conference on Computational Intelligence in Data Mining (ICCIDM 2015) held at Bhubaneswar, Odisha, India during 5 – 6 December 2015. The two-volume Proceedings address the difficulties and challenges for the seamless integration of two core