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Mining small databases by collecting knowledge

Zhang, Shichao and Zhang, Chengqi 2001, Mining small databases by collecting knowledge, in DASFAA 2001: Proceedings of the 7th International Conference on Database Systems for Advanced Applications, IEEE, [Hong Kong], pp. 154-155.

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Title Mining small databases by collecting knowledge
Author(s) Zhang, Shichao
Zhang, Chengqi
Conference name International Conference on Database Systems for Advanced Applications (7th : 2001 : Hong Kong)
Conference location Hong Kong
Conference dates 18-21 Apr. 2001
Title of proceedings DASFAA 2001: Proceedings of the 7th International Conference on Database Systems for Advanced Applications
Editor(s) Lun Lee, Dik
Kiyoki, Yasushi
Publication date 2001
Start page 154
End page 155
Publisher IEEE
Place of publication [Hong Kong]
Summary 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.
ISBN 0769509967
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2001, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30004555

Document type: Conference Paper
Collection: School of Information Technology
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