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Data mining: past, present and future

Published online by Cambridge University Press:  07 February 2011

Frans Coenen
Frans Coenen*
Affiliation:
Department of Computer Science, The University of Liverpool, Liverpool L693BX, UK; e-mail: coenen@liverpool.ac.uk
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Abstract

Data mining has become a well-established discipline within the domain of artificial intelligence (AI) and knowledge engineering (KE). It has its roots in machine learning and statistics, but encompasses other areas of computer science. It has received much interest over the last decade as advances in computer hardware have provided the processing power to enable large-scale data mining to be conducted. Unlike other innovations in AI and KE, data mining can be argued to be an application rather then a technology and thus can be expected to remain topical for the foreseeable future. This paper presents a brief review of the history of data mining, up to the present day, and some insights into future directions.

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Type
Articles
Information
The Knowledge Engineering Review , Volume 26 , Special Issue 1: 25th Anniversary Issue , 07 February 2011 , pp. 25 - 29
Copyright
Copyright © Cambridge University Press 2011

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