TY - GEN
T1 - Descriptive data mining; a granular model
AU - Wasilewska, Anita
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/51149084143
U2 - 10.1109/NAFIPS.2008.4531342
DO - 10.1109/NAFIPS.2008.4531342
M3 - Conference contribution
AN - SCOPUS:51149084143
SN - 9781424423521
T3 - Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
BT - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
T2 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
Y2 - 19 May 2008 through 22 May 2008
ER -