Foundations and New Directions in Data Mining
نویسندگان
چکیده
In this paper we investigate the area of attributeoriented data generalization for knowledge discovery purposes. We utilize a fuzzy database schema as the medium carrying the original information, where the fuzzy relation of similarity or proximity replaces the classical identity relation. Following a well-known approach for exact data generalization in the ordinary databases, Han [1], we propose the way in which such methodology can be successfully applied in the area of fuzzy databases. During the analysis we investigate strategies applicable to the attribute oriented generalization and point out both the advantages and the disadvantages of this approach when applied to mine knowledge from fuzzy tuples.
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