Title :
Descriptive data mining; A granular model
Author :
Wasilewska, Anita
Author_Institution :
Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY
Abstract :
We present here a formal syntax and semantics for descriptive data mining. We do so in terms of three abstract models: Descriptive, Semantic, and Granular. The Descriptive Model formalizes the syntactical concepts and properties of the data mining process. Semantic Model formalizes its semantical properties. The Granular Model establishes a relationship between the Descriptive and Semantic models in terms of a formal satisfaction relation.
Keywords :
computational linguistics; data mining; formal languages; descriptive data mining; formal satisfaction relation; formal semantic model; formal symbolic language; formal syntactical concept; granular model; Association rules; Classification tree analysis; Computer science; Data mining; Decision trees; Electronic mail; Formal languages; Information systems; Knowledge based systems; Neural networks;
Conference_Titel :
Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4244-2351-4
Electronic_ISBN :
978-1-4244-2352-1
DOI :
10.1109/NAFIPS.2008.4531342
