Apriori Algorithm Is Based On The Study Of Educational Decision-making System

Data mining technology is applied in a series of technology from large databases to extract important information, which is the most important KDD process a step, while the association rule mining is a data mining an important task to find a large number of data items set between the relevant connections.This thesis mainly classical algorithm Apriori association mining algorithm analysis of defects for the original algorithm scans the database and less need to repeat the paper proposes a new algorithm that identifies the use of transaction sets the TID number of calculations to generate the frequent itemsets, to avoid Repeat scan the database to improve the efficiency of the algorithm.The establishment of a new algorithm based on the education and management decision-making association rule mining system, which were designed to tap five themes, on the current higher education teaching in the potential inherent in the law to carry out excavation, which made many extremely valuable suggestions, teaching management colleges and universities played a very good supporting role.