INCH
发表于 2025-3-28 15:50:23
https://doi.org/10.1007/978-1-349-09556-8l, and understandable patterns from large and complex data sets. . (DM) is the core of the KDD process, involving the inferring of algorithms that explore the data, develop the model and discover previously unknown patterns. The model is used for understanding phenomena from the data, analysis and prediction.
pineal-gland
发表于 2025-3-28 20:35:04
Mike Anderson: The Kid Who Wanted to Flynivariate vs. multivariate techniques and parametric vs. nonparametric procedures. In presence of outliers, special attention should be taken to assure the robustness of the used estimators. Outlier detection for Data Mining is often based on distance measures, clustering and spatial methods.
机制
发表于 2025-3-29 01:38:04
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CHARM
发表于 2025-3-29 03:28:49
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形容词
发表于 2025-3-29 10:20:00
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cunning
发表于 2025-3-29 12:47:44
Primary Groups and the Regimental Systemule induction methods: LEM1, LEM2, and AQ are presented. An idea of a classification system, where rule sets are utilized to classify new cases, is introduced. Methods to evaluate an error rate associated with classification of unseen cases using the rule set are described. Finally, some more advanced methods are listed.
过度
发表于 2025-3-29 18:06:49
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CROAK
发表于 2025-3-29 22:42:15
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Intend
发表于 2025-3-30 02:16:42
Book 20102nd editionh in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security..Data Mining and Knowledge Discovery Handbook, Second Edition. is designed for research scientists, lib
engrossed
发表于 2025-3-30 04:06:08
s including finance, marketing, medicine, biology, engineering, telecommunications, software, and security..Data Mining and Knowledge Discovery Handbook, Second Edition. is designed for research scientists, lib978-0-387-09823-4