Title :
Classification Rule Mining Using LPP and MA
Author_Institution :
Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
To efficiently resolve classification rule mining problem, a novel classification rule mining algorithm is proposed by using locality pursuit projection (LPP) and memetic algorithm (MA) in this paper. Experimental results show that the proposed algorithm achieves much better performance than other related classification rule mining algorithms in terms of predictive accuracy and rule list mined simplicity.
Keywords :
data mining; pattern classification; classification rule mining; locality pursuit projection; memetic algorithm; Classification algorithms; Conference management; Data mining; Genetics; Machine learning; Machine learning algorithms; Project management; Pursuit algorithms; Space technology; Technology management;
Conference_Titel :
Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3729-0
DOI :
10.1109/SSME.2009.120
