Mining small databases by collecting knowledge

被引:0
作者
Zhang, SC [1 ]
Zhang, CQ [1 ]
机构
[1] Deakin Univ, Sch Comp & Math, Geelong, Vic 3217, Australia
来源
SEVENTH INTERNATIONAL CONFERENCE ON DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS | 2001年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Current data mining techniques may not be helpful for mining some companies/organizations such as nuclear power plants and earthquake bureaus, which have only small databases. Apparently, these companies/organizations also expect to apply data mining techniques to extract useful patterns in their databases so as to make their decisions. However, data in these databases such as the accident database of a nuclear power plant and the earthquake database in an earthquake bureau, may not be large enough to form any patterns. To meet the applications, we present a new mining model in this paper, which is based on the collecting knowledge from such as Web, journals, and newspapers.
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页码:154 / 155
页数:2
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