The dynamic data reduction and association rule parallel mining based on rough set

To dynamic increasing databases, the data dynamic reduction and decision-making rule mining are treated by the methods of repeat scan, order, search, reduction data set traditionally, this paper proposes a new mining algorithm, which treat two dispart table simultaneously by using program´ many course parallel technology. This method improves greatly mining efficiency of the system, is of important reference meaning to data reduction and association rule mining of the large dynamic increasing databases.