Abstract
The aim of this paper is to preprocess basketball technology actions, to classify these actionswith data mining technology, to mine association rules among them. The main works are shown below:The common approaches of data mining are discussed, such as preprocessing technology, classification technology, clustering technology and mining rules technology. Both ID3 decision tree classification algorithm association and Apriori association rules algorithm are studied in detail.The paper discusses basketball technology actionsboth on a small scale and a large scale, J48 decision tree classification and Apriori association rules mining algorithm basketball are applied, all these research results should have useful instruction to team.
Recommended Citation
Ji, Wen and Lv, Tao, "Research on technical analysis of basketball match based on data mining" (2022). ICEB 2022 Proceedings (Bangkok, Thailand). 67.
https://aisel.aisnet.org/iceb2022/67