Research and application of data mining algorithm on technical-tactics analysis of volleyball matches
数据挖掘算法在排球比赛技战术分析中的应用研究

The difficulty of applying data mining technology to the technical-tactics analysis in sports field was investigated and a solution to mining the key factor of scoring in volleyball matches was presented. This solution applied an approach of data mining based on Markov process to find focal process of action transitions by calculating system reliability difference. Because rules of volleyball match brought ambiguity to data, a solution was proposed which preprocessed the data respectively by setting the threshold of the state transition probability. The experiment proves the correctness and feasibility of the solution.