On mining Incremental Databases for Regular and Frequent Patterns

Abstract

Implementation of Incremental databases undertaken for dealing with different data phases and accumulation at regular intervals.The transactions contained in the fixed database and increment for the same could differ a lot based on the time and season during which the increment created, and the original database accumulated.Many algorithms have been in existence for incremental mining databases to derive frequent patterns that yield positive associations.Many applications exist that deal with regular and frequent patterns having negative associations mined from incremental databases.Negative associations are equally important to discover the counter effect of one pattern over the other.In this paper, an algorithm and implementation of the same using IBM supplied transactional data converted to an incremental database presented that helps to mine regular and frequent patterns having negative associations.