Adentitious
发表于 2025-3-21 19:41:47
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Ventilator
发表于 2025-3-21 23:23:56
0893-3405 nowledge discovery. This book first elaborates on thefundamentals of each of the data mining methods: rough sets, Bayesiananalysis, fuzzy sets, genetic algorithms, machine learning, neuralnetworks, and preprocessing techniques. The book then goes on tothoroughly discuss these methods in the setting
Antagonism
发表于 2025-3-22 01:56:48
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etidronate
发表于 2025-3-22 05:04:32
Book 1998liography. ..Data Mining Methods for Knowledge Discovery. is intended forsenior undergraduate and graduate students, as well as a broadaudience of professionals in computer and information sciences,medical informatics, and business information systems.
Presbycusis
发表于 2025-3-22 11:45:29
0893-3405 ensive bibliography. ..Data Mining Methods for Knowledge Discovery. is intended forsenior undergraduate and graduate students, as well as a broadaudience of professionals in computer and information sciences,medical informatics, and business information systems.978-1-4613-7557-9978-1-4615-5589-6Series ISSN 0893-3405
RAFF
发表于 2025-3-22 15:48:29
https://doi.org/10.1007/978-3-031-57373-6he most representative examples of the principle of evolutionary computing. Owing to the generality of evolutionary computing and a lack of specific assumptions about a problem to be tackled, genetic algorithms are capable of dealing with a broad class of tasks in spite of their formulation and the nature of the optimization to be completed.
RAFF
发表于 2025-3-22 19:19:13
Evolutionary Computing,he most representative examples of the principle of evolutionary computing. Owing to the generality of evolutionary computing and a lack of specific assumptions about a problem to be tackled, genetic algorithms are capable of dealing with a broad class of tasks in spite of their formulation and the nature of the optimization to be completed.
远地点
发表于 2025-3-23 00:56:55
Fuzzy Sets,ets, and related concepts of shadowed sets and rough sets. We highlight differences between computing with fuzzy sets and probabilities. Furthermore, we exhaustively revisit a concept of information granularity as emerging in fuzzy sets that constitutes a key notion of efficient machinery of data mining.
guzzle
发表于 2025-3-23 02:57:06
Bayesian Methods,ues of probability densities used in Bayesian inference. Finally the probabilistic neural network PNN, as a hardware implementation of kernel-based probability density and Bayesian classification, is discussed.
不规则
发表于 2025-3-23 08:54:53
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