DocumentCode
1811411
Title
A New Algorithm for Outlier Detection Based on Offset
Author
Zhang, Yue ; Liu, Jie ; Song, Bo
Author_Institution
Software Coll., Shenyang Normal Univ., Shenyang, China
Volume
2
fYear
2009
fDate
18-20 Aug. 2009
Firstpage
3
Lastpage
6
Abstract
Outlier detection is a hot topic of data mining. After studying the existing classical algorithm of detecting outliers, this paper proposes a new algorithm for outlier detection based on offset, and makes a new definition for outlier. This detection algorithm is a method based on clustering analysis. It includes cluster modeling and data detection. Also, the clustering result obtained together with detecting outliers. The experiment results on IRIS show that this algorithm can detect outliers effectively.
Keywords
data mining; pattern clustering; statistical analysis; clustering analysis; data detection; data mining; outlier detection algorithm; standard deviation; Algorithm design and analysis; Clustering algorithms; Data mining; Detection algorithms; Iris; Clustering; Mathematical expectation; Offset; Outlier; Standard deviation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location
Xian
Print_ISBN
978-0-7695-3744-3
Type
conf
DOI
10.1109/IAS.2009.142
Filename
5283565
Link To Document