Research Issues in Web Data Mining

  • Authors:
  • Sanjay Kumar Madria;Sourav S. Bhowmick;Wee Keong Ng;Ee-Peng Lim

  • Affiliations:
  • -;-;-;-

  • Venue:
  • DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we discuss mining with respect to web data referred here as web data mining. In particular, our focus is on web data mining research in context of our web warehousing project called WHOWEDA (Warehouse of Web Data). We have categorized web data mining into threes areas; web content mining, web structure mining and web usage mining. We have highlighted and discussed various research issues involved in each of these web data mining category. We believe that web data mining will be the topic of exploratory research in near future.