Abstract is missing.
- Detail and Context in Web Usage Mining: Coarsening and Visualizing SequencesBettina Berendt. 1-14 [doi]
- A Customer Purchase Incidence Model Applied to Recommender ServicesAndreas Geyer-Schulz, Michael Hahsler, Maximillian Jahn. 25-47 [doi]
- A Cube Model and Cluster Analysis for Web Access SessionsJoshua Zhexue Huang, Michael K. Ng, Wai-Ki Ching, Joe Ng, David Wai-Lok Cheung. 48-67 [doi]
- Exploiting Web Log Mining for Web Cache EnhancementAlexandros Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos. 68-87 [doi]
- LOGML: Log Markup Language for Web Usage MiningJohn R. Punin, Mukkai S. Krishnamoorthy, Mohammed Javeed Zaki. 88-112 [doi]
- A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side TrackingCyrus Shahabi, Farnoush Banaei Kashani. 113-144 [doi]
- Mining Indirect Associations in Web DataPang-Ning Tan, Vipin Kumar. 145-166 [doi]