Association rules and fuzzy association rules to find new query terms
نویسندگان
چکیده
We present an application of association rules and fuzzy association rules to find new terms that help the user to search in the web. A first query is made to the web and an initial set of documents is retrieved. Considering the terms of the collection as items, text transactions are constructed and association rules are extracted. Fuzzy association rules are also considered when the presence of an item in a transaction is a weight between zero and one. A selection of the best rules is carried out and the terms in those rules are offered to the user to refine the query.
منابع مشابه
Mining web documents to find additional query terms using fuzzy association rules
In this paper, we present an application of association rules to query re#nement. Starting from an initial set of documents retrieved from the web, text transactions are constructed and association rules are extracted. A fuzzy extension of text transactions and association rules is employed, where the presence of the terms (items) in the documents (transactions) is determined with a value betwe...
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