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Rough Association Mining and Its Application in Web Information Gathering.
- Source :
- AI 2005: Advances in Artificial Intelligence; 2005, p1005-1008, 4p
- Publication Year :
- 2005
-
Abstract
- It is a big challenge to guarantee the quality of association rules in some application areas (e.g., in information gathering) since duplications and ambiguities of data values (terms). This paper presents a novel concept of rough association rules to improve the quality of discovered knowledge. The precondition of a rough association rule consists of a set of terms (items) and a weight distribution of terms (items). The distinct advantage of rough association rules is that they contain more specific information than normal association rules. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540304623
- Database :
- Supplemental Index
- Journal :
- AI 2005: Advances in Artificial Intelligence
- Publication Type :
- Book
- Accession number :
- 32884520
- Full Text :
- https://doi.org/10.1007/11589990_130