DocumentCode :
737062
Title :
The Study on Classification and Prediction for Data Mining
Author :
Lin, Cheng ; Yan, Fan
fYear :
2015
fDate :
13-14 June 2015
Firstpage :
1305
Lastpage :
1309
Abstract :
The information age needs to master the technique of data mining, the data were analyzed. The classification and prediction through data mining can grasp the basic trend of the development of the unknown data. In this paper, by decision tree, partition the steps of data classification refinement, through discussion on linear regression, multiple linear regression and non-linear regression forecast method, to deepen the understanding of the data prediction accuracy evaluation method, then introduces the classification and prediction of the similarities and differences by classification method.
Keywords :
Accuracy; Data mining; Data models; Decision trees; Linear regression; Predictive models; Training; Classification; Classification accuracy rate; Data mining; Decision tree; Forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
Type :
conf
DOI :
10.1109/ICMTMA.2015.318
Filename :
7263815
Link To Document :
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