Title :
Heuristic Model Research on Decision Tree Algorithm
Author :
Li, Fa-chao ; Guan, Fei
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
Decision tree, as a simple classification algorithm, is an effective tool for mining knowledge rules, and it has been successfully applied in many fields. Based on the analysis of the essential characteristics of decision tree algorithm, for the selection of the expanded attributes, we put forward leaf criterion; data utilization criterion and comprehensive effect criterion which can recognize the extension ability of attributes, and establish the mathematical model with structural characteristics which can evaluate the extension capabilities of attributes.
Keywords :
data mining; decision trees; pattern classification; classification algorithm; comprehensive effect criterion; data utilization criterion; decision tree algorithm; heuristic model research; leaf criterion; mathematical model; mining knowledge rules; Asia; Character recognition; Classification tree analysis; Decision trees; Economic forecasting; Electronic mail; Knowledge management; Mathematical model; Technology management; Weather forecasting; ID3 algorithm; comprehensive effect; data utilization criterion; decision tree; extension capability; leaf criterion;
Conference_Titel :
Intelligent Interaction and Affective Computing, 2009. ASIA '09. International Asia Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3910-2
Electronic_ISBN :
978-1-4244-5406-8
DOI :
10.1109/ASIA.2009.34
