Recognizing the fake reputation information, fair and healthy reputation system in E-Commerce

摘要

E-commerce is all about carrying out business on the Web. It is about carrying out transactions, essentially buying and selling products and services by consumers and businesses respectively, on the web. Web is one of the largest sources of information, collection of many files stored in different web servers and its size is also growing rapidly. E-commerce not only keep your business up and running but also make it tough to stand in the competitive world of e-business. E-commerce has provided a cost efficient and effective way of doing business in the web. Web mining is the application of data mining techniques to discover and extract useful and interesting information from the Web. User behavior on the web is based on web mining, security and e-commerce. Customer behavior pattern is analyzed to improve e-commerce websites. Different web mining algorithm and security algorithm provide security on e-commerce websites. Web mining algorithms such as like pagerank and trust rank are used to develop web mining framework in e-commerce website. Generally web mining framework is only based on the web content mining or web usage mining. In this proposed system web mining consist of web structure mining, web content mining, decision analysis and security analysis. Now a days, digitalization gaining popularity because of seamless, easy and convenience use of ecommerce. People choose online payment and eshopping; due to time convenience, transport convenience, etc. Because of that the frauds are increasing day by day. It is very important to detect such frauds and to find the solution to avoid these frauds.