Title :
Descriptive Granularity
Author :
Wasilewska, Anita
Author_Institution :
Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
Abstract :
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.
Keywords :
data mining; formal logic; set theory; data mining; descriptive granularity; formal satisfaction relation; formal syntax; granular model; semantic model; Computational modeling; Data mining; Data models; Delta modulation; Knowledge based systems; Semantics;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.117
