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Media type:
E-Article
Title:
Data mining: past, present and future
Contributor:
Coenen, Frans
Published:
Cambridge University Press (CUP), 2011
Published in:
The Knowledge Engineering Review, 26 (2011) 1, Seite 25-29
Language:
English
DOI:
10.1017/s0269888910000378
ISSN:
0269-8889;
1469-8005
Origination:
Footnote:
Description:
AbstractData 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.