DocumentCode
2606205
Title
Mining term association rules for automatic global query expansion: methodology and preliminary results
Author
Wei, Jie ; Bressan, Stéphane ; Ooi, Beng Chin
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore
Volume
1
fYear
2000
fDate
2000
Firstpage
366
Abstract
The authors are looking at the mining of association between terms for the automatic expansion of queries. The technique used for the discovery of the associations is association rule mining (R. Agrawal et al., 1996). The technique proposed is more flexible than previous techniques based on term co-occurrence since it takes into account not only the co-occurrence frequency but also the confidence and direction of the association rules. We have been able to consistently improve the effectiveness of the retrieval over the set of 48 test queries on the Associated Press 1990 news wires corpus of the TREC4 benchmark by query expansion using term association rules
Keywords
data mining; document handling; query processing; Associated Press 1990 news wires corpus; TREC4 benchmark; association rule mining; automatic global query expansion; co-occurrence frequency; term association rule mining; term co-occurrence; test queries; Association rules; Benchmark testing; Data mining; Frequency; Government; Information retrieval; Ontologies; Search engines; Thesauri; Wires;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Information Systems Engineering, 2000. Proceedings of the First International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-0577-5
Type
conf
DOI
10.1109/WISE.2000.882414
Filename
882414
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