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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jie Wei Bressan, S. Beng Chin Ooi |
| Copyright Year | 2000 |
| Description | Author affiliation: Sch. of Comput., Nat. Univ. of Singapore, Singapore (Jie Wei) |
| 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. |
| Starting Page | 366 |
| Ending Page | 373 |
| File Size | 651046 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769505775 |
| DOI | 10.1109/WISE.2000.882414 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-06-19 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Association rules Thesauri Wires Frequency Ontologies Government Benchmark testing Search engines Information retrieval |
| Content Type | Text |
| Resource Type | Article |
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