Manjeet Samoliya

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

E-mail: manjeet.it11@gmail.com

Website:

Research Interests: Pattern Recognition, Data Mining, Data Compression, Data Structures and Algorithms, Data Structures

Biography

Manjeet Samoliya is currently pursuing the M.tech degree in computer science and engineering from CSE/IT deptt., MITS Gwalior (M.P), India. He has received B.E. degree from Gwalior Institute of Technology and Science, Gwalior (M.P), India. His areas of interest are data mining, Association rule mining, frequent pattern mining, rough set and their applications.

Author Articles
On the Use of Rough Set Theory for Mining Periodic Frequent Patterns

By Manjeet Samoliya Akhilesh Tiwari

DOI: https://doi.org/10.5815/ijitcs.2016.07.08, Pub. Date: 8 Jul. 2016

This paper presents a new Apriori based approach for mining periodic frequent patterns from the temporal database. The proposed approach utilizes the concept of rough set theory for obtaining reduced representation of the initially considered temporal database. In order to consider only the relevant items for analyzing seasonal effects, a decision attribute festival has been considered. It has been observed that the proposed approach works fine for the analysis of the seasonal impact on buying behavior of customers. Considering the capability of approach for the analysis of seasonal profitability concern, decision making, and future marketing may use it for the important decision-making process for the uplifting of sell.

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