Application of Computer Science and Technology Intelligence Based on Improved Decision Tree Algorithm

Data mining is the process of discovering large data sets and revealing hidden laws. This paper aims to study the intelligent application analysis of computer science and technology based on the improved decision tree algorithm. Taking the improvement of the ID3 algorithm as the research goal, on the basis of analyzing the tasks of data mining, decision tree algorithm and the application development of computer science and technology, it proposes improved scheme of ID3 algorithm is presented and realized. Finally, this paper uses the ID3 algorithm and the improved ID3 algorithm to conduct a decision tree construction experiment. The experimental results show that compared with the ID3 algorithm, the improved algorithm reduces a lot of training logarithms, and therefore shortens the construction of the same training data. The decision tree is time-consuming and greatly improves the computing performance.