Title :
Machine Learning Applications in Rough Set Theory
Author :
Wei Wenshan ; Li Haihua
Author_Institution :
Sch. of Phys. & Electron. Eng., Guangxi Univ. for Nat., Nanning, China
Abstract :
This article, using the attribute reduction of rough set theory and superiority in the knowledge discovery and combining with the machine learning theory, proposes a machine learning model based on the attribute reduction of rough set theory, and explores the machine learning in several important concepts and research methods.
Keywords :
learning (artificial intelligence); rough set theory; knowledge discovery; machine learning applications; machine learning theory; rough set theory; Cognition; Decision making; Knowledge based systems; Knowledge representation; Learning; Machine learning; Set theory;
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
DOI :
10.1109/ITAPP.2010.5566567
