Web Mining

Web Data Mining, drawing from its conventional counterpart, refers to the extraction of previously unknown, implicit and potentially useful strategic information from the WWW. In Whoweda, we explore basic operations that constitute web data mining and defines a framework to mine a set of semi-structured, related websites. We also investigate some of the important issues governing knowledge discovery on the web that distinguish it from ordinary data mining.

Web Bags

A web bag is a "web table" which allows multiple occurrences of "identical" web tuples. A web bag helps to discover knowledge related to query traversed path, visible documents or web sites, luminous documents or web sites, etc. Some of these knowledge can be used further in refining a user's query. There are a number of new challenges related to web bag due to the richer nature of the Whoweda data model which handles unstructured data. What exactly is a web bag in Whoweda? How are web bags created in Whoweda? Is there is a need to materialize web bags? What is the usefulness of web bags from the perspective of information provided to users? In this work, we address some of these challenges

Resercher

Dr. Sanjay Madria

Dr. Sourav Bhowmic, Nanyang Technological University, Singapore

Dr. Ng Wee Keong, Nanyang Technological University, Singapore