DocumentCode
2646340
Title
A new classification algorithm based on SJEP
Author
Peng, Hong ; Wang, Cong ; Yu, Zong-Xiao
Author_Institution
China Univ. of Min., Mech. & Electr. Eng., Beijing, China
Volume
7
fYear
2010
fDate
16-18 April 2010
Abstract
This paper presents a new algorithm based on SJEP classification (SJEP_Classifier).The classification algorithm makes use of the distinction between JEP powerful capabilities, at the same time using the most effective jump Emerging Patterns (SJEP) as the classification is based on, enhanced the algorithm to noise tolerance, reducing the complexity of the algorithm. Experimental results show that, SJEP_Classifier than the CAB and the C4.5 classification algorithm has higher classification accuracy than JEP_Classifier higher efficiency.
Keywords
pattern classification; tolerance analysis; SJEP classification; complexity reduction; effective jump emerging pattern; noise tolerance; Accuracy; Classification algorithms; Data analysis; Data mining; Noise reduction; Testing; Training data; CBA; Classification Algorithm; Data Mining; JEP; SJEP;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485266
Filename
5485266
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