Web usage mining: Learner centric approach for E-business applications

Emerging of web has put forward a great deal of challenges to web researchers for web based information management and retrieval, especially online business competitiveness. Users find it very difficult to extract useful and relevant information from the huge amount of information particularly for business, education and e-learning. The problem can be solved by web usage mining with the experience using open web application programming interfaces(APIs) which are available by major companies for example RapidMiner, Digg.com, Amazon, eBay are opened access to their services and data through APIs, and we can make use of their services for the development of web usage mining research applications. This paper presents an experiment with pattern classification for user behavior prediction for an e-commerce business application. The paper concludes that web usage mining can be an approach to build innovative business applications and has potential to help improve learning performance with the help of APIs with in short period of time.