Description

Data Mining is an analytic process designed to explore data (usually large amounts of data – typically business or market related – also known as “big data”) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns. These real-world databases contain hundreds or even thousands of relations and attributes. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users on those databases. In this paper, we mainly study the ranking of query form components and the dynamic generation of query forms. We will use the indexing technique .It is query optimization method and reduces the execution time also enhances the efficiency. The ranking of form components is based on the captured user preference. A user can also fill the query form and submit queries to view the query result at each iteration.