Abstract is missing.
- A Pattern Discovery AlgebraAlexander Tuzhilin.
- A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data MiningZhexue Huang.
- Clustering Based On Association Rule HypergraphsEui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher.
- Ontology-based Induction of High Level Classification RulesMerwyn G. Taylor, Kilian Stoffel, James A. Hendler.
- Sharing Processing in Data Mining SystemArun N. Swami, Brian Lent.
- Maintenance of Discovered Association Rules: When to update?Sau Dan Lee, David Wai-Lok Cheung.
- Efficient Algorithms for Discovering Frequent Sets in Incremental DatabasesRonen Feldman, Yonatan Aumann, Amihood Amir, Heikki Mannila.
- Issues in Decision Support over SQL DatabasesSurajit Chaudhuri.
- Efficient Roll-Up and Drill-Down Analysis for Large Data SetsMin Wang, Balakrishna R. Iyer.
- An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database RecordsAlvaro E. Monge, Charles Elkan.
- On the Complexity of Mining Temporal TrendsJef Wijsen, Robert Meersman.
- Mining Association Patterns from Nested DatabasesKe Wang.
- An Application of Adaptive Data Mining: Facilitating Web Information AccessParvathi Chundi, Umeshwar Dayal.