Outlying subspace detection for high-dimensional data

Zhang, Ji and Gao, Qigang and Wang, Hai (2009) Outlying subspace detection for high-dimensional data. In: Encyclopedia of database technologies and applications, 2nd ed. Information Science Reference (IGI Global), Hershey, PA, United States, pp. 1-6. ISBN 978-1591405603


[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.

Statistics for USQ ePrint 5628
Statistics for this ePrint Item
Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to electronic version of chapter due to publisher copyright restrictions.
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 08 Sep 2009 02:13
Last Modified: 12 Sep 2016 02:41
Uncontrolled Keywords: subspace detection
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
URI: http://eprints.usq.edu.au/id/eprint/5628

Actions (login required)

View Item Archive Repository Staff Only