A novel decision tree algorithm on the class division degree of attribute

Author

Wang, Jianjun

Author_Institution

Sch. of Comput. Sci. & Eng., Changshu Inst. of Technol., Changshu, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

2454

Lastpage

2457

Abstract

In the process of constructing a decision tree, the criteria of selecting splitting attributes will influence the efficiency of classification. We present Class division degree decision tree method, a new concept based on Category factor which explains the classification ability of attributes set on the sample space. The experiment shows that the algorithm has better efficiency of building the decision tree.

Keywords

data mining; decision trees; pattern classification; attribute class division degree; category factor; class division degree decision tree method; decision tree algorithm; splitting attributes selection; Algorithm design and analysis; Classification algorithms; Complexity theory; Data mining; Decision trees; Educational institutions; Prediction algorithms; Category factor; Class division degree; Decision tree; Optimization coefficient;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6066682

Filename

6066682

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2179295