Classification Rules

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Classification Rules
Publications: 2,487| Citation Count: 23,168
Stemming Variations: classification rule, classifications rules
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    • Classification rule is a useful model in data mining. Given variable values, rules classify data items into different classes. Different rule learning algorithms are proposed, like Genetic Algorithm (GA) and Genetic Programming (GP). Rules can also be extracted from Bayesian Network (BN) and decision trees. However, all of them have disadvantages and may fail to get the best results. Both of GA and GP cannot handle cooperation among rules and thus, the learnt rules are likely to have many overlappings, i.e...

    Wing-Ho Shumet al. Learning non-overlapping rules A method based on Functional Dependency...

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