Data mining – A review

Publication Type

Conference Proceeding Article

Publication Date

11-1998

Abstract

Terabytes of data are generated everyday in many organizations . To extract hidden predictive information from large volumes of data, data mining (DM) techniques are needed. Organizations are starting to realize the importance of data mining in their strategic planning and successful application of DM techniques can be an enormous payoff for the organizations. This paper discusses the requirements and challenges of DM, and describes major DM techniques such as statistics , artificial intelligence , decision tree approach, genetic algorithm, and visualization.

Discipline

Databases and Information Systems

Research Areas

Information Systems and Management

Publication

Proceedings of the 1998 Decision Sciences Institute Annual Meeting, Las Vegas, Nevada, USA, November 21-24

First Page

621

Last Page

623

City or Country

Las Vegas, Nevada, USA

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