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Classification Algorithm Analysis and Quantitative Research on Data Mining Oriented the Tobacco Industry
Author(s): 
Pages: 45-49
Year: Issue:  9
Journal: Office Automation

Keyword:  Data miningClassificationAlgorithmMargin curve;
Abstract: Using the cross validation method for C4.5,Bayesian belief network,sequential minimal optimization (SMO)of three kinds of common data mining algorithms are analyzed on the China tobacco almanac 2011-2012 sales data. Under the same training sample data set and the same testing sample data set,we have obtained the time required for algorithm modeling,classification accuracy,coverage and margin curve in terms of three kinds of algorithm. Analysis of the number of training samples of different effects of three kinds of algorithms,and provide theoretical and experimen-tal basis for users to choose the corresponding classification algorithm in different sample quality.
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