容易懂得 发表于 2025-3-23 10:24:33

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Reverie 发表于 2025-3-23 16:03:32

Advanced Modelling Paradigms in Data Mining, information. Acquiring and maintaing these repositories relies on mainstream techniques, technology and methodologies. In this book we discuss a number of founding techniques and expand into intelligent paradigms.

减少 发表于 2025-3-23 18:50:30

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火车车轮 发表于 2025-3-23 22:23:11

A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid,Knowledge Grid, a service-oriented framework for distributed data mining on the Grid. DIS3GNO supports all the phases of a distributed data mining task, including composition, execution, and results visualization. The paper provides a description of DIS3GNO, some relevant use cases implemented by it, and a performance evaluation of the system.

maculated 发表于 2025-3-24 05:12:22

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颂扬本人 发表于 2025-3-24 07:15:32

Exceptional Model Mining,omehow exceptional. We discuss regression as well as classification models, and define quality measures that determine how exceptional a given model on a subgroup is. Our framework is general enough to be applied to many types of models, even from other paradigms such as association analysis and graphical modeling.

OMIT 发表于 2025-3-24 13:25:33

1868-4394 th informatics is presented in a handbook style.Written by l.There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayes

高度 发表于 2025-3-24 15:01:22

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把手 发表于 2025-3-24 22:02:10

Sudeshna Roy,Ibrahim Seaga Shaws are the most popular neural network type, consisting on a feedforward network of processing neurons that are grouped into layers and connected by weighted links. On the other hand, SVM transforms the input variables into a high dimensional feature space and then finds the best hyperplane that mode

ingrate 发表于 2025-3-25 01:51:58

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查看完整版本: Titlebook: Data Mining: Foundations and Intelligent Paradigms; VOLUME 2: Statistica Dawn E. Holmes,Lakhmi C. Jain Book 2012 Springer-Verlag Berlin Hei