Abstract

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.

References

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