DocumentCode :
2221731
Title :
Research on outlier data mining algorithms based on subspace
Author :
Ping-guang, Cheng
Author_Institution :
Dept. of Comput. Sci., Chongqing Educ. Coll., Chongqing, China
Volume :
2
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
This paper describes the outlier data mining and commonly used outlier mining methods, on this basis, it presents an outlier mining algorithm based on particle swarm and subspace, and then the experiments show that the algorithm does not rely on user input parameters, has strong flexibility and high operational efficiency. Finally this paper designs an outlier mining system based on subspace, in detail describes the functional modules and the key technologies.
Keywords :
data mining; particle swarm optimisation; functional modules; outlier data mining algorithms; particle swarm optimisation; Argon; outlier data mining; particle swarm; subspace;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579280
Filename :
5579280
Link To Document :
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