Materialized Views in Data Mining

Relational views are used both as a specification technique and as an execution plan for the derivation of the warehouse data. Currently available mining algorithms suffer from long processing times depending mainly on the size of the dataset. One observation is that the results of consecutive data mining queries are usually very similar. This observation leads to the idea of reusing materialized results of previous data mining queries in order to improve performance of the system. The views created are used by the data mining algorithms to accelerate the process of analysis on the data. In this paper, we summarize relational views, how the results stored in these views can be used to accelerate processing of data mining queries. Looking at a major issue which deals with refreshing of the views which are needed to maintain accuracy that may cost some time to maintain the updates view.