Smart Shopping Using ID3 Algorithm and Data Mining

Abstract

With the advancement of the computer and Internet technology, data mining is playing an important role in Web based information systems. While e-commerce is developing rapidly, it is possible for retail organizations to collect and store massive amounts of sales data. However, this unfortunately causes the explosive growth of data, which requires a more efficient way to extract useful knowledge. On the other hand, people have gradually noticed that data mining not only can offer very meaningful knowledge about customer shopping behaviours by analyzing the transaction data in the past, but also can improve the efficiencient procedure and quality of managerial decision making. In B2C e-commerce, the research for customer shopping pattern not only improves commerce system’s design, but also results in better marketing strategy. Smart Shopping is an E-Commerce website which uses the skin tone of the customer and using data mining algorithm ID3 (Iterative Dichotomizer 3), classifies and suggest the suitable clothes to the customer. Customer has the choice whether to go with the suggestions or purchase what he wants to buy. The system also provides vendor with the facility that he can do this business through our website. He can register to the site and after getting authenticated by the admin he can display and sell his product on the site.