Zhang, Ji and Gao, Qigang and Wang, Hai (2009) Outlying subspace detection for high-dimensional data. In: Rivero, Laura C. and Doorn, Jorge Horacio and Ferraggine, Viviana E., (eds.) Encyclopedia of database technologies and applications, 2nd ed. Information Science Reference (IGI Global), Hershey, PA, United States, pp. 1-6. ISBN 978-1591405603
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[Conclusion]: This article formulates the outlying subspace detection problem and provides a survey of the existing methods for solving this problem. In particular, it focuses on the metrics used to measure the outlier quality of given data points in different subspaces and the searching strategies employed by the existing techniques for exploring high-dimensional space lattices. We have also pointed out the major limitations of the existing techniques, and some important issues to be considered in developing a better outlying subspace detection method in future research work.
|Item Type:||Book Chapter (Commonwealth Reporting Category B)|
|Additional Information:||Permanent restricted access to electronic version of chapter due to publisher copyright restrictions. Print copy held in the USQ Library at call no. 005.7403 Enc.|
|Uncontrolled Keywords:||subspace detection|
|Fields of Research (FOR2008):||08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining|
|Subjects:||280000 Information, Computing and Communication Sciences|
|Socio-Economic Objective (SEO2008):||UNSPECIFIED|
|Deposited On:||08 Sep 2009 12:13|
|Last Modified:||22 Feb 2012 13:04|
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