The research of decision tree learning algorithm in technology of data mining classification

Decision tree (decision tree), also known as decision tree is a kind of information theory-based, decision tree data structure based on this classification algorithm. Categorized the decision tree in the field of data mining has been studied for many years, and had a lot of algorithms, such as the early ID3, and later improved C4.5, stressed that the algorithm can scale SLIQ and SPRIN. This article proposes to construct E-commerce recommendation system by using the ART neural network and product ontology to make up for these deficiencies. Firstly, this paper analyzes the various decisionmaking algorithms for classification learning. This paper presents the decision tree learning algorithm in the field of data mining classification by using inductive decision tree classification. The experimental results show that this method can effectively improve the performance of classification.