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
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;
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
DOI :
10.1109/ICCASM.2010.5620070
