Autonomous 发表于 2025-3-21 19:11:45

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Flounder 发表于 2025-3-21 22:21:41

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预感 发表于 2025-3-22 02:47:06

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无所不知 发表于 2025-3-22 06:14:51

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Catheter 发表于 2025-3-22 11:47:40

Oded Maimon,Lior RokachIllustrations of various applications including manufacturing, medical, banking, insurance and others.Includes various real-world case studies with detailed results.Edited by the highly-regarded edito

OATH 发表于 2025-3-22 15:10:28

es with detailed results.Edited by the highly-regarded edito.Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability...

Migratory 发表于 2025-3-22 18:42:36

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偏离 发表于 2025-3-22 22:48:02

Swarm Intelligence Algorithms for Data Clusteringinally describes a new SI technique for partitioning any dataset into an optimal number of groups through one run of optimization. Computer simulations undertaken in this research have also been provided to demonstrate the effectiveness of the proposed algorithm.

内向者 发表于 2025-3-23 01:47:18

Book 2008nt because it enables modeling and knowledge extraction from abundant data availability...Soft Computing for Knowledge Discovery and Data Mining. introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approach

松紧带 发表于 2025-3-23 07:09:55

Support Vector Machines and Fuzzy Systems More importantly, an SVM can work very well on a high (or even infinite) dimensional feature space. This chapter presents a survey of the connection between fuzzy classifiers and kernel machines. A significant portion of the chapter is built upon material from articles we have written, in particular (Chen and Wang, 2003a, Chen and Wang, 2003b).
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查看完整版本: Titlebook: Soft Computing for Knowledge Discovery and Data Mining; Oded Maimon,Lior Rokach Book 2008 Springer-Verlag US 2008 Bayesian network.Cluster