DocumentCode
532163
Title
An improved outlier detection algorithm based on frequent pattern
Author
Liang, Guang Min ; Shuguang, Wang
Author_Institution
Sch. of Electron. & Inf. Eng., Shenzhen Polytech., Shenzhen, China
Volume
7
fYear
2010
fDate
22-24 Oct. 2010
Abstract
This paper focuses on the outlier detection algorithm based on frequent pattern (FP method). First we analyze the drawback of FP method, and then present an improved method (LFP method). Finally, we evaluate the two methods by using several datasets and the experiment results show that the LFP method outperforms the FP method in outlier detection.
Keywords
data mining; pattern clustering; LFP method; frequent pattern method; improved outlier detection algorithm; Accuracy; data mining; frequent pattern; outlier detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5620070
Filename
5620070
Link To Document