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Titlebook: Evolutionary Computation in Data Mining; Ashish Ghosh,Lakhmi C. Jain Book 2005 Springer-Verlag Berlin Heidelberg 2005 Data mining.Evolutio

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21#
發(fā)表于 2025-3-25 06:06:10 | 只看該作者
Ashish Ghosh,Lakhmi C. JainState of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms.Demonstrates how the different tools of evolutionary computation can be used for solving real-life prob
22#
發(fā)表于 2025-3-25 11:13:03 | 只看該作者
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978-3-642-42195-2Springer-Verlag Berlin Heidelberg 2005
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發(fā)表于 2025-3-25 19:39:25 | 只看該作者
Evolutionary Computation in Data Mining978-3-540-32358-7Series ISSN 1434-9922 Series E-ISSN 1860-0808
25#
發(fā)表于 2025-3-25 20:31:42 | 只看該作者
https://doi.org/10.1007/3-540-32358-9Data mining; Evolutionary Computation; Knowledge Discovery in Databases; Multi-Agent Data mining; algori
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發(fā)表于 2025-3-26 02:03:27 | 只看該作者
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發(fā)表于 2025-3-26 04:31:49 | 只看該作者
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發(fā)表于 2025-3-26 10:30:37 | 只看該作者
29#
發(fā)表于 2025-3-26 13:47:31 | 只看該作者
https://doi.org/10.1007/978-3-531-19201-7gorithms that build feature-vector-based classifiers in the form of rule sets. With the tremendous explosion in the amount of data being amassed by organizations of today, it is critically important that data mining techniques are able to process such data efficiently. We present the Distributed Lea
30#
發(fā)表于 2025-3-26 20:18:12 | 只看該作者
https://doi.org/10.1057/9780230306851ntally affect the accuracy of rules. Data dimensionality reduction is desirable as a preprocessing procedure for rule extraction. We propose a rule extraction system for extracting rules based on class-dependent features which is selected by genetic algorithms (GAs). The major parts of the rule extr
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