using Apriori Algorithm A. Rungsawang, A. Tangpong, P. Laohawee, T....  Home/Search
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Abstract: One problem in query reformulation process is to nd an optimal set of terms to add to the old query. In our TREC experiments this year, we propose to use the association rule discovery (especially apriori algorithm) to nd good candidate terms to enhance the query. These candidate terms are automatically derived from collection, added to the original query to build a new one. Experiments conducted on a subset of TREC collections gives quite promising results. We achieve a 19% improvement with... (Update)
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BibTeX entry: (Update)
@misc{ algorithm-novel,
author = "Using Apriori Algorithm",
title = "Novel Query Expansion Technique",
url = "citeseer.ist.psu.edu/750565.html" }
Citations (may not include all citations):921 Mining Association Rules between Sets of Items in Large Data.. - Agrawal, Imielinski et al. - 1993
910 Fast Algorithms for Mining Association Rules - Agrawal, Srikant
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