DocumentCode :
2733885
Title :
Predictor System for Industrial Data
Author :
Shobha, G.
Author_Institution :
R V Coll. of Eng., Bangalore
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
43
Lastpage :
43
Abstract :
In this paper, I have provided the user with adequate parameters of the various industries belonging to United States so that using these parameters the user can safely invest in an industry, which has a bright future and provides rich dividends on his investment. With this system, the user can predict the values of certain parameters, which can serve as a guideline to indicate the state of that particular industry at present and in the future.
Keywords :
data mining; genetic algorithms; United States; industrial data; predictor system; Art; Biological cells; Clothing industry; Data engineering; Databases; Educational institutions; Genetic algorithms; Genetic mutations; Guidelines; Investments;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.462
Filename :
4427688
Link To Document :
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