The Knowledge Engineering Review

Articles

Data mining: past, present and future

Frans Coenena1

a1 Department of Computer Science, The University of Liverpool, Liverpool L693BX, UK; e-mail: coenen@liverpool.ac.uk

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.

(Online publication February 07 2011)