| This paper describe the role of domain expert in the process of Knowledge Discovery in Databases (KDD). In order to get better results, various steps of knowledge discovery process are extended with the domain specific expertise of the users. Intermediate results after each step are provided to the domain expert to check whether the process is proceeding in the right direction or there exists a need to change certain variables [Ankerest M., 2001; Hellerstein J.M. et.al., 1999; Anand S.S. et.al.,1995].Even though the quality of results heavily relies on data preparation. Preparing data includes data selection, data cleaning, data transformation and data validation etc. These initial steps of exploring, visualizing and querying the data, to gain insight into the data are very vital and are better done in an interactive manner. |