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- W2376575457 abstract "Decision tree classification algorithm is one of the effective tools to realize intelligent of Guidance System.It can receive precise classification through the analyzing and mining of the data.It also has another positive characteristic that the decision tree and the set of production rules are simple and efficient in terms of computing.This paper proposed the Intelligent Guidance System and introduced the main modules.It also proposed C4.5r algorithm based on the comparison of ID3 algorithm and C4.5 algorithm and the requirements of individual educations.Simultaneously,the model used for evaluation was established.Experiments show that C4.5r algorithm is better than C4.5 algorithm in such aspects as run-time,the size of rules sets and overhead of the production rules." @default.
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- W2376575457 date "2012-01-01" @default.
- W2376575457 modified "2023-09-26" @default.
- W2376575457 title "Design and implementation of intelligent learning guidance model based on attributes correlation" @default.
- W2376575457 hasPublicationYear "2012" @default.
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