An Intelligent Mining Sequential Pattern Method for Simulating Olympic Temporary Pots

摘要：

The paper gives an intelligent mining sequential pattern method as a way to solve the problem of simulating Olympic temporary pots.Mining sequential patterns serves an essential role to the mining domain and offer useful resources to large number of data users.Although most mining method offer complete mining results,they simply collect and statistic all data and do not provide an effectively analytical method.This study aims to develop an intelligent nliIling sequential pattern method that Unlike traditional statistical method uses a number of intelligent methods,including the distributed mining of sequential pattern discovery algorithm based on the prefix-projected technique and clustering algorithm,and provides more meaningful and accurate resInts,and at the same time improves the efficiency

关键词： Distributed Sequential Pattern Mining Maximal Frequent Sequential Pattern Statistical Method Clustering Algorithm

作者: Cui Xu Zhao Qing-jiang Liu Xin

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 1015-1017

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）