ASSOCIATION RULE MINING IN DISTRIBUTED DATABASE SYSTEM?

Data mining is one of the crucial research areas. Among this, discovery of association rules is an important research topic. This paper implements a distributed database algorithm (DD) for mining association rules. The efficiency of this algorithm is compared with the standard FP-Growth algorithm. This algorithm produces the same result as that of FP-Growth with higher efficiency and accuracy. This paper is tested against with the connect data sets and hence prove its efficiency and accuracy.