Title :
Theorize with data using rough sets
Author_Institution :
Univ. of Inf. Technol. & Manage., Warsaw, Poland
Abstract :
In this paper we study the granular structure of data in the language of rough set theory. It is shown that the granularity of data can be represented in a form of a flow graph, and the relationship between granules obeys Bayes´ theorem. This leads to a new method of data analysis. This paper is dedicated to the renowned Sherlock Holmes for his mastery in theorizing about data.
Keywords :
Bayes methods; data analysis; data structures; rough set theory; Bayes theorem; data analysis; data granules; decision granules; flow graph; granularity; rough set theory; Application software; Computer applications; Rough sets;
Conference_Titel :
Computer Software and Applications Conference, 2002. COMPSAC 2002. Proceedings. 26th Annual International
Print_ISBN :
0-7695-1727-7
DOI :
10.1109/CMPSAC.2002.1045162
