A KIND OF INDUCTIVE LEARNING CLASSIFICATION ALGORITHM BASED ON STATISTICS RULE

摘要

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.