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