Association for Computing Machinery
ACM Special Interest Group on Knowledge Discovery & Data Mining


KDD-99

ACM SIGKDD
International Conference
on
Knowledge Discovery & Data Mining

August 15-18, 1999
San Diego, CA, USA

KDD'99 Tutorial Program


Sunday, August 15


Three-Hour tutorials: (2)
9:00-12:00
T-1. Classification and Regression: Money *Can* Grow on Trees

Johannes Gehrke, Wei-Yin Loh and Raghu Ramakrishnan
T-2. Scalable Algorithms for Mining Large Databases

Rajeev Rastogi and Kyuseok Shim
Two-Hour tutorials: (2)
1:30-3:30
T-3. Clustering Techniques for Large Data Sets: From the Past to the Future

Alexander Hinneburg and Daniel Keim
T-4. Mining Unstructured Data

Ronen Feldman
3:30-4:00 Catering Break
Two-Hour tutorials: (2)
4:00-6:00
T-5. Combining Estimators to Improve Performance

John F. Elder IV, and ElderGreg Ridgeway
T-6. Data mining by business users: integrating data mining in business processes

Marcel Holsheimer

 


KDD-99
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