In today's world commercial security and unique management products is highly adopted to role based access control (RBAC). Currently visualizing the user roles instead of raw data will make a significant impact in business trends. Earlier process used many heuristic algorithms with which visual role mining was achieved whereas the amount of noise within the data and correlation among roles made it is limited. To overcome the drawbacks of the above technique we proposed two algorithms: ZOOMING & DATA FILTERING. The later proposed a technique is used for the issue of reducing the noise among the data. Secondly, a novel algorithm is framed for visualizing a single user in multiple domain roles. Results will be demonstrated by using real time data.

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Data Mining Role Mining Role Based Access Control Multi Domains