Liu, Dong and Gao, Qigang and Wang, Hai and Zhang, Ji ORCID: https://orcid.org/0000-0001-7167-6970
(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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Abstract
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.
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