Liu, Dong and Gao, Qigang and Wang, Hai and Zhang, Ji (2010) A web-based interactive data visualization system for outlier subspace analysis. In: SEDE 2010: 19th International Conference on Software Engineering and Data Engineering, 16-18 Jun 2010, San Francisco, CA. United States.
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Detecting outliers from high-dimensional data is a challenge task since outliers mainly reside in various low dimensional subspaces of the data. To tackle this challenge, subspace analysis based outlier detection approach has been proposed recently. Detecting outlying subspaces in which a given data point is an outlier facilitates a better characterization process for detecting outliers for high-dimensional data stream, and make outlier mining for large high-dimensional data set to be more manageable. In this paper, to facilitate outlier subspaces analysis from human perception perspectives in supporting the development of efficient solutions for high-dimensional data, we propose a web-based interactive data visualization system, which can display various low-dimensional outlier subspaces to allow users to observe and analyze the distributions of outliers. The proposed visualization tool can help the developers of outlier detection applications to directly examine the distributions of outliers in various low-dimensional subspaces to validate their experiment results.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||No evidence of copyright restrictions.|
|Uncontrolled Keywords:||outliers; subspace analysis; web-based interactive data visualization system|
|Depositing User:||Dr Ji Zhang|
|Date Deposited:||16 Feb 2011 02:47|
|Last Modified:||03 Jul 2013 00:27|
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