Shrikant Brajesh Sagar

Work place: Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior (M.P), 474005, India



Research Interests: Data Mining, Data Structures and Algorithms


Shrikant B. Sagar is pursuing degree in CSE from the department of CSE & IT Madhav Institute of Technology & Science (MITS), Gwalior (M.P.), India. He received his B.E. degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (M.P.), India. His area of current work is the discovery of association rules in data mining and their applications.

Author Articles
Rough Set and Genetic Based Approach for Max-imization of Weighted Association Rules

By Shrikant Brajesh Sagar Akhilesh Tiwari

DOI:, Pub. Date: 8 Mar. 2016

The present paper proposes a new approach for the effective weighted association rule mining. The proposed approach utilizes the power of Rough Set Theory for obtaining reduct of the targeted dataset. Additionally, approach takes the benefit for weighted measures and the Genetic Algorithm for the generation of the desired set of rules. Enough analysis of proposed approach has been done and observed that the approach works as per the expectation and will be beneficial in situation when there is a requirement for the consideration of hidden rules(maximizing generated rules) in decision-making process.

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