DocumentCode
1965590
Title
Notice of Retraction
Data stream clustering for stock data analysis
Author
Xueyan Wu ; Daoping Huang
Author_Institution
Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Volume
2
fYear
2010
fDate
10-11 July 2010
Firstpage
168
Lastpage
171
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes a method of data stream clustering for stock data analysis. The method aims to retain shape and tend features during the clustering process. The experimental results show that the shape-based clustering over data streams can get the evolution accuracy of 95% with the reasonable parameters.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes a method of data stream clustering for stock data analysis. The method aims to retain shape and tend features during the clustering process. The experimental results show that the shape-based clustering over data streams can get the evolution accuracy of 95% with the reasonable parameters.
Keywords
data analysis; data mining; financial data processing; pattern clustering; stock markets; clustering process; data stream; financial market; stock data analysis; Clustering; Data streams; Stock data analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7860-6
Type
conf
DOI
10.1109/INDUSIS.2010.5565650
Filename
5565650
Link To Document