A Review of Handling Continuous and Unknown Attribute Values of C4.5 Algorithm

C4.5 is one of most classic algorithms for creating decision tree. The important improvement of handling continuous and unknown attribute values achieves a larger generalization for C4.5 algorithm. This paper presents a mathematical and systematic review to describe basic algorithm and the two handles. We input datasets of few samples for evaluation and the experimental results indicated that C4.5 algorithm performs good rule conclusion for datasets. Deeper studies and more applications for C4.5 algorithm will be contributed by this paper.