Work place: Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior (M.P), 474005, India
E-mail: shrikantsagar19@gmail.com
Website:
Research Interests: Data Mining, Data Structures and Algorithms
Biography
Shrikant B. Sagar is pursuing M.tech 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.
By Shrikant Brajesh Sagar Akhilesh Tiwari
DOI: https://doi.org/10.5815/ijmecs.2016.03.07, 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.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals