Title :
Evaluating technologies based rough set theory
Author :
Nguyen, Vu Thanh ; Sa, Nguyen Thi Ly
Author_Institution :
Univ. of Inf. Technol., Ho Chi Minh City, Vietnam
Abstract :
Most data mining algorithms usually generate combining large rules, finding useful rules from rules set necessary and important. There have been several techniques proposed to assess the rule as useful measure which is based on rough set theory as the RIM, ERIM measure. On rough set theory has been studied, the article proposed AWERIM measure which is improved from ERIM measure and applied this specific measure to an application of the data mining problem about bank loans.
Keywords :
data mining; rough set theory; AWERIM measure; ERIM measure; data mining algorithms; evaluating technologies; rough set theory; Accuracy; Association rules; Cybernetics; Machine learning; Set theory; Weight measurement; AWERIM measure; ERIM measure; RIM measure;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580523
