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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Routing Attribute Data Mining Based on Rough Set Theory
verfasst von : Yanbing Liu, Hong Tang, Menghao Wang, Shixin Sun
Erschienen in: Advanced Data Mining and Applications
Verlag: Springer Berlin Heidelberg
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QOSPF (Quality of Service Open Shortest Path First) based on QoS routing has been recognized as a missing piece in the evolution of QoS-based service offerings in the Internet. A data mining method for QoS routing based on rough set theory has been presented in this paper. The information system about the link is created from the subnet, and the method of rough set can mine the best route from enormous irregular link QoS data and can classify the link with the link-status data. An instance applying to the theory is presented, which verifies the feasibility that the most excellent attribute set is mined by rough set theory for compatible data table.