Data mining using classification techniques in query processing strategies

Abstract

Given a query, there are many different query processing strategies to fulfil user requirements. The selection of tuples are from 0% to 100%. The found set of relations will determine the different query processing strategies being implemented. To implement effective query processing strategies relies on the cost model of query processing. Traditionally, query processing does not handle personalization of user requirements. In the e-commerce environment, in order to achieve a fast response time of a query it requires personalization in the relation. We introduce the concept of personalization at the query processing level. We discuss a cost model for each of the query processing strategies and use a data mining technique such as classification in selecting the most effective query processing strategy for personalization. We introduce the current query processing strategies. We conclude with a data mining technique as an alternative in selecting a query processing strategy.