International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 161 - Number 11 |
Year of Publication: 2017 |
Authors: Neha Jain, Anil Suryavanshi |
10.5120/ijca2017913327 |
Neha Jain, Anil Suryavanshi . Analysis of E-Commerce Big Data using Clustering and CloudSim Load Balancing. International Journal of Computer Applications. 161, 11 ( Mar 2017), 50-54. DOI=10.5120/ijca2017913327
In this paper an efficient technique is implemented for the analysis of E-Commerce based Applications over Big Data. The Proposed Methodology implemented here is based on the concept of providing Extracting Feature Vectors from the E-Commerce Data and Load balancing of Data using CloudSim based Load balancing and finally Clustered the Data. The Proposed Methodology implemented provides efficient Accuracy & Processing Time as compared to the existing methodology implemented for the analysis of E-Commerce Data.