Text

Computational Intelligence in 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 organizationsℓ́ℓ 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

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

: Springer., 2015

Collation

XXVIII, 717 p. 254 illus.

Language

English

ISBN/ISSN

9788132222026

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Volume 3

Subject(s)

Data mining

Specific Detail Info

Volume 3 Proceedings of the International Conference on CIDM, 20-21 December 2014

Statement of Responsibility

-

Other Information

Cataloger

Kurnadi

Source

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment