Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. Data mining allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. There are many types of data mining techniques. The main and most objective mining method is peculiarity mining. This method mines the peculiar data among the large set of data. In this paper there are certain set of rules which found to find relevant data among large set of data in large set of databases.