Discovering association rules from structural evolution of tree structured web data
Date of Issue2007
School of Computer Engineering
Today, the Web has been one of the most mammoth information storage. Its rapid evolution not only makes it more and more important for users to access information, but also poses challenging problems, such as maintaining search engines and updating web caching etc, in the Web community. In our research, we exploit the evolution of the Web further to discover novel knowledge from the Web history. We mine association rules from changes to different types of tree structured Web data and study how the extracted knowledge can be applied in corresponding applications.
DRNTU::Engineering::Computer science and engineering::Data