Parallel Data Ming Algorithm of Sequential Associations
序列关联并行挖掘算法研究

Ming sequential associations is becoming increasing essential in many scientific and commercial domains . Developing parallel algorithm becomes quite challenging depending on enormous size of available dataset and possibly large number of mined associations,the nature of input data and the timing constraints imposed on the desired associations. In this pape,we discuss several different parallel algorithms that cater to various situations to speed up the current mining process.