An Improved Outlier Detection Algorithm based on Frequent Pattern

摘要：

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.

关键词： outlier detection frequent pattern data mining

作者: Guang Min Liang Wang Shuguang

作者单位: School of Electronics and Information Engineering Shenzhen Polytechnic, Shenzhen 518055,China Network Information Center Shandong University of Technology,Zibo 255049,China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 344-349

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）