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 possi...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 possiblylarge number of mined associations ,the nature of input data and the timing constraints imposed on the desired associa-tions. In this paper ,we discuss several different parallel algorithms that cater to various situations to speed up thecurrent mining process.展开更多
文摘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 possiblylarge number of mined associations ,the nature of input data and the timing constraints imposed on the desired associa-tions. In this paper ,we discuss several different parallel algorithms that cater to various situations to speed up thecurrent mining process.
