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