Mining association rules between values across attributes in data streams

摘要

In this paper we propose a framework and approach to model events as elements of data stream and perform analysis to group values of attribute similar to each other within an attribute and find associations between clusters of values across two attributes. Experiments have been performed on both synthetic and real data sets.