Deakin University
Browse

File(s) under permanent embargo

Mining small databases by collecting knowledge

conference contribution
posted on 2001-01-01, 00:00 authored by Shichao Zhang, C Zhang
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.

History

Title of proceedings

DASFAA 2001: Proceedings of the 7th International Conference on Database Systems for Advanced Applications

Event

International Conference on Database Systems for Advanced Applications (7th : 2001 : Hong Kong)

Pagination

154 - 155

Publisher

IEEE

Location

Hong Kong

Place of publication

[Hong Kong]

Start date

2001-04-18

End date

2001-04-21

ISBN-10

0769509967

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2001, IEEE

Editor/Contributor(s)

D Lun Lee, Y Kiyoki

Usage metrics

    Research Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC