A Novel Association Rule Decision Algorithm Based on Knowledge Space

The data mining process is important in nature. So we must reduce response time which is imperative. The task is difficult because of the calculation and storage intensive nature of association rule decision algorithms. We re-devised algorithms to make better the performance of association rule decision algorithms. For that we layout an effective systems. In this paper, we present knowledge space layout methods for re-devising algorithm. Knowledge space algorithm layouts try to reduce the duplication computation by iterations and across operations of an association rule decision algorithm. Knowledge space algorithm layouts try to improve operation performance by way of maximizing data location and re-use on the other side. And we propose the new layout for the support systems that make a great diversity of association rule decision algorithms to broaden knowledge space by minimal run cost.