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A review of data mining techniques

Article Information:

Title:

A review of data mining techniques

Author(s):

Sang Jun Lee, Keng Siau

Journal:

Industrial Management & Data Systems

Year:

2001

Volume:

101

Issue:

1

Page:

41 - 46


ISSN:

0263-5577


DOI:

10.1108/02635570110365989

Publisher:

MCB UP Ltd

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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.

Keywords:

Algorithms, Artificial intelligence, Data mining, Decision trees


Article Type:

Literature review


Article URL:

http://www.emeraldinsight.com/10.1108/02635570110365989

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