Name
Abstract | ||
|---|---|---|
Abstract 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 ini- tial set of documents,is retrieved. Consider- ing 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. Keywords: information retrieval, associa- |
Year | Venue | Keywords |
|---|---|---|
2003 | EUSFLAT Conf. | association rule,information retrieval |
Field | DocType | Citations |
Data mining,Computer science,Association rule learning,Fuzzy association rules | Conference | 1 |
PageRank | References | Authors |
0.36 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel Delgado | 1 | 1452 | 121.94 |
| Maria J. Martín-Bautista | 2 | 208 | 23.79 |
| Daniel Sánchez | 3 | 967 | 60.29 |
| José-maría Serrano | 4 | 121 | 10.48 |
| María Amparo Vila Miranda | 5 | 1182 | 93.57 |