A Kind of Classification Algorithms of Data Mining and Quantitative Analysis

Yan Feng Zhang; Ting Ting Li

doi:10.4028/www.scientific.net/AMR.655-657.963

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 655-657A Kind of Classification Algorithms of Data Mining...

A Kind of Classification Algorithms of Data Mining and Quantitative Analysis

Abstract:

C4.5, Bayesian network and Sequential Minimal Optimization (SMO) are three typical classification algorithms in data mining. Using cross-validation method with 10 folds get analysis and calculation results of the experiments for the three classification algorithms in the same training set and test set. The main metrics include accuracy, precision, speed, robustness, scalability and comprehensibility, we use margin curve show these. It provides a theoretical and experimental basis for users to select a proper classification algorithm with different training sets in quality and amount.

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Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

963-968

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.655-657.963

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Online since:

January 2013

Authors:

Yan Feng Zhang, Ting Ting Li

Keywords:

Classification Algorithm, Data Mining (DM), Margin Curve, Training Set

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