Title :
An outlier mining algorithm based on probability
Author :
Zhang, Vue ; Liu, Lie
Author_Institution :
Software Coll., Shenyang Normal Univ., Shenyang, China
Abstract :
Outlier detection is a hot topic of data mining. After studying the existing classical algorithms of detecting outliers, this paper proposes an outlier mining algorithm based on probability, and makes a new definition for outlier. It clusterings firstly with density-based algorithm, and determines suspicious outlier. Then, outlier will be detected according to probability. The experiment results on IRIS show that this algorithm can detect outliers effectively.
Keywords :
data mining; probability; data mining; density based algorithm; outlier detection; outlier mining; probability; Clustering algorithms; Data mining; Educational institutions; Intelligent transportation systems; Iris; Mathematics; Power electronics; Smoothing methods; Software algorithms; Software standards; clustering; mathematical expectation; outlier; standard deviation;
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
DOI :
10.1109/PEITS.2009.5406917
