Apriori algorithm for economic data mining in sports industry

Yaguang Xiang

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 451-455

Sports Institute, West Anhui University, Liu'an, 237012,Anhui, China

Current data mining model cannot meet the increasing requirement of economic data mining in sports industry. In view of it, this paper put forward a data mining model based on improved Apriori algorithm, firstly took Hash technology to remove unnecessary candidate item sets to improve the algorithm efficiency, and then translated the transactional databases to the form of matrix to decrease the memory consumption. The simulation experiments show that compared with standard Apriori algorithms, our proposed data mining model based on improved Apriori algorithm greatly shortens the running time, decreases the space consumption, and can be completely applied into the sports industry economic data mining.