Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases
Paper
Paper/Presentation Title | Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases |
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Presentation Type | Paper |
Authors | Wang, Wei (Author), Zhang, Ji (Author) and Wang, Hai (Author) |
Editors | Hao, Y., Liu, J., Wang, Y., Cheung, Y.-M., Yin, H., Jiao, L., Ma, J. and Jiao, Y.-C. |
Journal or Proceedings Title | Lecture Notes in Artificial Intelligence (Book series) |
Journal Citation | 3801, pp. 765-770 |
Number of Pages | 6 |
Year | 2005 |
Place of Publication | Heidelberg, Germany |
ISBN | 9783540308188 |
Web Address (URL) of Paper | http://www.comp.hkbu.edu.hk/~cis05/home/ |
Conference/Event | 2005 IEEE International Conference on Computational Intelligence and Security (CIS'05) |
Event Details | 2005 IEEE International Conference on Computational Intelligence and Security (CIS'05) Event Date 15 to end of 19 Dec 2005 Event Location Xi'an, China |
Abstract | [Abstract]: In this paper, we will propose a novel outlier mining algorithm, called Grid-ODF, that takes into account both the local and global perspectives of outliers for effective detection. The notion of Outlying Degree Factor (ODF), that reflects the factors of both the density and distance, is introduced to rank outliers. A grid structure partitioning the data space is employed to enable Grid- |
Keywords | outliers; Grid-ODF; outlying degree factor |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | Copyright 2005 Springer. This is the author's version of a paper published in the series Lecture Notes in Artificial Intelligence, v. 3801, 2005. Deposited in accordance with the copyright policy of the publisher, Springer. |
Byline Affiliations | Nanjing Normal University, China |
Dalhousie University, Canada | |
Saint Mary's University, Canada |
https://research.usq.edu.au/item/9z29w/grid-odf-detecting-outliers-effectively-and-efficiently-in-large-multi-dimensional-databases
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