TY - GEN
T1 - Descriptive granularity
AU - Wasilewska, Anita
PY - 2010
Y1 - 2010
N2 - We present here a formal syntax and semantics for a notion of a descriptive granularity. 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, or learning 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 a notion of a descriptive granularity. 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, or learning 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/77958593643
U2 - 10.1109/GrC.2010.117
DO - 10.1109/GrC.2010.117
M3 - Conference contribution
AN - SCOPUS:77958593643
SN - 9780769541617
T3 - Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010
SP - 37
EP - 38
BT - Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010
T2 - 2010 IEEE International Conference on Granular Computing, GrC 2010
Y2 - 14 August 2010 through 16 August 2010
ER -