An Intelligent Mining Sequential Pattern Method for Simulating Olympic Temporary Pots

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 mining 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 results, and at the same time improves the efficiency.