Web Personalization of Indian e-Commerce Websites Using Classification Methodologies
The paper highlights the classification methodologies using Bayesian Rule for Indian e-commerce websites. It deals with generating cluster of users having fraudulent intentions. Secondly, it also focuses on Bayesian Ontology Requirement for efficient Possibilistic Outcomes. Electronic Commerce is fast emerging as most popular method of purchasing, let it be a small pen drive or bulky LED TV. Recent survey has estimated that around 3- 5% of Indians have transacted or are well versed with working of online shopping websites.