Title :
A Classification Algorithm Based on Similarity Degree
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha, China
fDate :
March 31 2009-April 2 2009
Abstract :
First, we give the definition of similarity degree of objects in continuous domain decision table; then, according to the idea of classification, an attribute reduct algorithm of decision table with continuous attributes is put forward; at last, a classification algorithm is proposed and also the validity of this classification algorithm is accounted for through an example.
Keywords :
data mining; pattern classification; rough set theory; attribute reduct algorithm; classification algorithm; continuous domain decision table; data mining; rough set theory; similarity degree; Cities and towns; Classification algorithms; Computer science; Data mining; Databases; Knowledge representation; Medical diagnostic imaging; Pattern recognition; Rough sets; Set theory; attribute reduct; classification; continuous domain decision table; similarity degree;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.208
