Squential Step Towards Pattern Warehousing

Abstract

With the massive increase in the data, the demand by the analysts hyped for the proper repositories where they could analyse the concerned specific data patterns in order to make smart and quick decisions for the welfare and benefit of the business, organization or some social work. Pattern warehouse proved to be the best solution. This paper focuses on the discussion of existing architecture and moreover on the algorithms that is needed for retrieving the optimal patterns from the pattern warehouse. It also includes the detailed study about the sequential emergence of association rule algorithms which initially derive out patterns and later on those patterns are being optimized according to the interest of the analyst.