Abstract
AbstractIt 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.KeywordsDecision RuleAssociation RuleText MiningInformation GatheringAssociation Rule MiningThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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