The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional methods often treated each item evenly that makes the process of mining association rules time consuming. To improve the efficiency, items appearing in transactions are weighted using the analytic hierarchy process to r...

Mining frequent itemsets and association rules are an essential task within data mining analysis. In this paper, we introduce PrefRec, a recursive algorithm for finding rules. Its main advantage is its recursiveness with respect to the items. It particularly efficient updating process when new items added database or some excluded. We present in complete way logic of algorithm, give application...

Association rules are popular form for knowledge discovery domain. They used finding interesting relationships and patterns hidden in large data sets the area of associative classification, where usually with one item right-hand side considered. There many different approaches algorithms mining association rules. One most group methods which based on frequent itemsets, applied transaction forma...