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 :
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