See5/C5.0 + Cubist Package 教育單機版

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See5 (Windows 2000/Xp/Vista/7) and its Unix counterpart C5.0 are sophisticated data mining tools for discovering patterns that delineate categories, assembling them into classifiers, and using them to make predictions. 

Some important features:

• See5/C5.0 has been designed to analyze substantial databases containing thousands to hundreds of thousands of records and tens to hundreds of numeric, time, date, or nominal fields. See5/C5.0 also takes advantage of processors with quad cores, up to four CPUs, or Intel Hyper-Threading to speed up the analysis.
• To maximize interpretability, See5/C5.0 classifiers are expressed as decision trees or sets of if-then rules, forms that are generally easier to understand than neural networks.
• See5/C5.0 is available for Windows 2000/Xp/Vista and Linux.
• See5/C5.0 is easy to use and does not presume any special knowledge of Statistics or Machine Learning (although these don't hurt, either!)

RuleQuest provides C source code so that classifiers constructed by See5/C5.0 can be embedded in your organization's own systems. 

Cubist builds rule-based predictive models that output values, complementingSee5/C5.0 that predicts categories. For instance, See5/C5.0 might classify the percentage yield from some process as "high", "medium", or "low", whereas Cubist would output a number such as "7.3".

Cubist is a powerful tool for generating rule-based models that balance the need for accurate prediction against the requirements of intelligibility. Cubist models generally give better results than those produced by simple techniques such as multivariate linear regression, while also being easier to understand than neural networks.

Some important features:

• Cubist has been designed to analyze substantial databases containing hundreds of thousands of records and tens to thousands of numeric or nominal fields. If you have used neural networks or similar modeling tools, you'll be surprised by Cubist's speed! (Cubist also takes advantage of processors with quad cores, up to four CPUs, or Intel Hyper-Threading to speed up model-building.)
• To maximize interpretability, Cubist models are expressed as collections of rules, where each rule has an associated multivariate linear model. Whenever a situation matches a rule's conditions, the associated model is used to calculate the predicted value.
• Cubist is available for Windows 2000/Xp/Vista and Linux.
• Cubist is easy to use and does not presume advanced knowledge of Statistics or Machine Learning (although these don't hurt, either!)
• RuleQuest provides C source code so that models constructed by Cubist can be embedded in your organization's own systems.

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