Detecting global outliers from large distributed databases
Paper
Paper/Presentation Title | Detecting global outliers from large distributed databases |
---|---|
Presentation Type | Paper |
Authors | Zhang, Ji (Author), Cao, Jie (Author) and Zhu, Xiaodong (Author) |
Editors | Liu, Yanbing, Yue, Shigang, Leung, Frank H. F., Zhao, Guofeng and Wang, Lipo |
Journal or Proceedings Title | Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012) |
ERA Conference ID | 43362 |
Number of Pages | 5 |
Year | 2012 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781467300223 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/FSKD.2012.6233948 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6233948 |
Conference/Event | 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012) |
International Conference on Fuzzy Systems and Knowledge | |
Event Details | International Conference on Fuzzy Systems and Knowledge FSKD Rank C C C C C C |
Event Details | 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012) Event Date 29 to end of 31 May 2012 Event Location Chongqing, China |
Abstract | In this paper, we present an innovative system, coined as DISTROD (a.k.a DISTRibuted Outlier Detector), for detecting outliers from distributed databases. DISTROD is able to effectively detect the so-called global outliers from distributed databases that are consistent with those produced by the centralized detection paradigm. Experimental evaluation demonstrates the good performance of DISTROD in terms of effectiveness and speed. |
Keywords | distributed database; experimental evaluation; innovative systems |
ANZSRC Field of Research 2020 | 460699. Distributed computing and systems software not elsewhere classified |
469999. Other information and computing sciences not elsewhere classified | |
Public Notes | © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Centre for Systems Biology |
Nanjing University of Information Science and Technology, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1v02/detecting-global-outliers-from-large-distributed-databases
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