国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Due to its many advantages, XML has rapidly become as a standard for representing and exchanging information in different fields. A large number of XML data has brought new challenges to data mining. Most of the work for mining XML data association rules is based on Apriori algorithm.The basic methods and efficiency of Apriori are analyzed, pointing out its shortcomings and propose the improved XApriori algorithm. The algorithm is based on the new data structure, the use of Hash table and the optimization of Apriori to improve the efficiency of finding frequent item sets. The experimental results show that XApriori is superior to Apriori.