The contribution of data mining to information science

被引:53
作者
Chen, SY [1 ]
Liu, XH [1 ]
机构
[1] Brunel Univ, Dept Informat Syst & Comp, Uxbridge UB8 3PH, Middx, England
关键词
data mining; personalization; search engines; electronic commerce;
D O I
10.1177/0165551504047928
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge. In the past several years, data mining has made a significant contribution to the field of information science. This paper examines the impact of data mining by reviewing existing applications, including personalized environments, electronic commerce, and search engines. For these three types of application, how data mining can enhance their functions is discussed. The reader of this paper is expected to get an overview of the state of the art research associated with these applications. Furthermore, we identify the limitations of current work and raise several directions for future research.
引用
收藏
页码:550 / 558
页数:9
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