Online Shopping Customer Behaviour Analysis using centrality measures

Now the world is completely filled with the data. Each every action is generating the huge amount of data called as Big data. Analysis, processing of Big data itself is a big field emerging nowadays called as data science. Ecommerce field is growing much more and people are becoming lazier to walk through shops for purchasing. A huge competation in ecommerce field to attract people towards purchasing by providing them more and more offers. In order to achieve that need to identify the regular customer to shopping websites and providingthem more offers increases the revenue of ecommerce field this is achieved through mining the shopping dataset.This paper deals the technique that identifies the key customer using the centrality measures by considering his transaction data of shopping dataset. © 2019 IEEE.