Title :
A Kind of Inductive Learning Classification Algorithm Based on Statistics Rule
Author :
Li, Yan ; Li, Fa-chao
Author_Institution :
Coll. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
Induce learning is one of the most important research areas on application of artificial intelligence. The classification algorithm is the core of the machine learning. The article advanced a kind of decision classification algorithm that is in view of attribute value statistical regularity, on the characteristic and insufficient of ID3, C4.5 algorithm. (In short of BS-CA) This algorithm takes the statistical regularity as foundation, and takes the multiplication as comprehensive tactics, simplifying the trimming and optimization processes of decision tree. The theory analysis and experiment shows that BS-CA possesses high accuracy, high classification speed, simple and high activity
Keywords :
data mining; decision trees; learning by example; pattern classification; statistical analysis; C4.5 algorithm; ID3 algorithm; attribute value statistical regularity; decision classification algorithm; decision tree; inductive learning classification algorithm; machine learning; statistics rule; Classification algorithms; Classification tree analysis; Cybernetics; Decision trees; Economic forecasting; Educational institutions; Humans; Learning systems; Machine learning; Machine learning algorithms; Statistics; BS-CA; Classificication algorithm; Data mining; Induce learning; Statistical rule;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258658
