E-commerce Luxury Products Promotion through WEKA using Naive Bayes Classification Approach

Abstract

Data mining technique has been developed as a field of basic and applied research in computer science in general and E-Commerce & E-Business in particular. It has been used as an effective tool by researchers and key organizations since long time for the purpose of improving business intelligence process. We obtained the database of affluent people across the globe and further applied classification and visualization technique to determine the buying patterns and do some predictive analysis which can further help in focusing product marketing within certain confined areas of e-commerce. The paper examines the role of how Naive Bayes classification approach can be used to classify the database in set of wealth and age further to promote luxury products within e-commerce value chain.