A Statistical Study on Adaptive Query Processing in Data mining

In recent days data management area has got an interesting research area to the innovative researchers because of its complexity and less availability of statistical analysis. It has been observed that traditional techniques are insufficient for optimizing the recent data world. This gives the idea and encourages the researchers to develop new technique. In this competition adaptive query processing got a good repo in the market, which focus on using runtime feedback to modify query processing in a way that provides better response time or efficient CPU utilization. In this paper, we emphasize on different issues, themes, and approaches that has value added to this work. Our aim is to be to give a brief overview of the techniques and also a basic frame work for understanding the field of adaptive query processing in general.