Enhancing the Analysis of Customer Behavior in Supermarket Through Map Reduce

Author(s):

Sushma K , Thiagarajar college of Engineering; Karthiga S, Thiagarajar college of Engineering

Keywords:

C4.5 algorithm; Hadoop; MapReduce; Supermarket; Recommendation

Abstract:

Customer behavior analytics have implemented in many systems, though still it’s a developing and unexplored market has greater potential for better advancements. One of the major challenges for knowledge discovery and data mining systems stands in developing their data analysis capability to discover out of the ordinary models in the data. Now-a-days data mining became more important due to the arrival of powerful data collection and storage tools. In this paper, a Map Reduce implementation of statistical classifier, C4.5 algorithm has to be proposed. The problem addressed in this paper is Big data processing is complex using traditional database management tools. The objective of this paper is To reduce the average time spend by the customer in supermarket. To analysis customer behavior which helps to turn big data into big value by allowing to predict the buyer behavior to improve their sales. The proposed system is to implementation of C4.5 algorithm using Mapreduce framework.

Other Details:

Manuscript Id	:	IJSTEV3I10225
Published in	:	Volume : 3, Issue : 10
Publication Date	:	01/05/2017
Page(s)	:	510-514

Download Article