Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

S

Sample: In statistics a large sample is anything 30 or more!

See5: A commercial Windows95/NT decision tree and rule induction product from Refer[rulequest]RuleQuest developed by Ross Quinlan as the successor to his very successful and widely used ID3 and C4.5 systems.

Segmentation:

Similarity-Based Learning: Involves comparing several examples of a concept, searching for common variables, in order to define the concept being learned.

Statistics:

Subjective Interestingness: A measure of Referinterestingness incorporating the user's point of view.

Supervised Learning: Training data is labelled by class membership.

Support:



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