DocumentCode
3290837
Title
The Application of Data Mining In the Decision of Supermarket Extension and Businesses Expansion Based on Evolutionary Computation
Author
Xue, Ming ; Zhu, Changjun
Author_Institution
Changchun Inst. of Technol., Changchun, China
fYear
2009
fDate
16-17 May 2009
Firstpage
778
Lastpage
780
Abstract
In the view of the problem such as blindness, spontaneity, lag, in the decision of supermarket extension and businesses expansion, we proposed the data mining algorithms based on evolutionary computation in this paper. The algorithms is based on the traditional data mining technology, and combined with the advantages of evolutionary algorithms. Choosing the fitness function in evolutionary algorithms, then optimizing and filtrating the data from the database, combined with the fact of the supermarket decision, data extraction and visualization operations can be made to improve the efficiency of the data mining, in order to serve the decision-making, and bring greater benefits to the supermarket and the businesses.
Keywords
data mining; data visualisation; decision support systems; evolutionary computation; retailing; businesses expansion decision; data extraction; data mining; data visualization; decision making; evolutionary computation; supermarket extension decision; Blindness; Circuits; Data mining; Data visualization; Decision making; Evolutionary computation; Macroeconomics; Monitoring; Technology management; Visual databases; businesses expansion; computation; data mining; evolutionary;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3614-9
Type
conf
DOI
10.1109/PACCS.2009.91
Filename
5232441
Link To Document