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Improvement of data mining algorithm and its application in Chord network
WANG Chun-feng ZHOU Ning
Journal of Computer Applications    2012, 32 (01): 199-201.   DOI: 10.3724/SP.J.1087.2012.00199
Abstract1306)      PDF (633KB)(693)       Save
To improve the efficiency of data mining algorithms and the speed of Chord resource location, the paper optimized the data mining algorithm by introducing the conditional model and the depth-first strategy, and then applied the data mining algorithm in the Chord network routing table. The paper speeded up the process of resource location by deleting the routing information of invalid or low frequency use, and adding the relevant routing information. Finally, the performance comparison experiments show that the improved data mining algorithm reflects the superior performance, and effectively improves the positioning performance of the system's resources by mining the association rules of the Chord network.
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