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.
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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