Method of Association Rule of Intermediate Storage Based On-line Analytical Mining
Yujie Wu · Journal of Xiamen University of Technology · 2012
With the development of business intelligence technology,the research of effective techniques in multi-dimensional database for mining association rules is becoming more and more important.In order to solve the defects of multi-dimensional database system caused by I / O overhead repeatedly under different support of mining association.A new association rule mining measure based on the intermediate storage of OLAM(On-Line Analytical Mining)is put forward.In the self-developed on the basis of OLAP(On-line Analytical Processing) to treat analysis,using BC-Tree storage cube to set the frequency of the index number of the predicate,then using the improved Apriori association rule mining algorithm to analysis the dimension of interest to users,improving the efficiency of repeated mining system.This can reduce the number of mining dimensions,increasing the system's target,and take the produce data for example to prove the correctness and effectiveness of the program.