found in the database model and the frequent association rules is the area of data mining the most fundamental and important issues. Most of the early studies used a similar Apriori algorithm for the selection of candidates and test-iterative way was costly, particularly mining the rich patterns and long model, Jiawei Han proposed a novel data structure FP_tree and on the basis of their FP_growth algorithm used effectively the model for long and rich patterns of excavation. This paper discussed the FP_growth algorithm on the basis of the Visual C of the algorithm, and the preparation procedure of the algorithm.

Apriori.class
Copyable.class
FastVector$FastVectorEnumeration.class
FastVector.class
FileOpr.class
GetSource.class
Item.class
META-INF
........\MANIFEST.MF
MyApp$1.class
MyApp.class
Output.class

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