FEATURE SELECTION FOR TIME-SERIES PREDICTION IN CASE OF NONDETERMINED ESTIMATION
Електронний архів E-archive DonNTU – (Electronic archive Donetsk National Technical University)
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Title |
FEATURE SELECTION FOR TIME-SERIES PREDICTION IN CASE OF NONDETERMINED ESTIMATION
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Creator |
Khmylovy, S. V.
Skobtsov, Y. A. |
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Subject |
data mining
evolutionary computations, forecasting time series |
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Description |
two sets of features can be compared just with some probability, so the existing methods should be modified. For this purpose we propose the use of Compact Genetic Algorithms (CGA) and present a scheme of feature selection. The step of genetic algorithm learning is modified for the case of stochastic estimation of a feature set. The results for Internet-traffic forecasting are obtained |
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Date |
2012-04-04T18:32:53Z
2012-04-04T18:32:53Z 2010 |
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Type |
Article
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Identifier |
Proceedings of Donetsk National Technical University. No 1, 2010, 110 р.
UDC 681.3 http://ea.donntu.edu.ua/handle/123456789/10655 |
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Publisher |
ДонНТУ
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