Conferences in DBLP

Knowledge Discovery and Data Mining (KDD) (kdd)
1999 (conf/kdd/99t)

1. Johannes Gehrke, Wei-Yin Loh, Raghu Ramakrishnan
   Classification and Regression: Money *can* Grow on Trees. [Citation Graph (0, 0)][DBLP]
   KDD Tutorial Notes, 1999, pp:1-73 [Conf]
   
2. Rajeev Rastogi, Kyuseok Shim
   Scalable Algorithms for Mining Large Databases. [Citation Graph (0, 0)][DBLP]
   KDD Tutorial Notes, 1999, pp:73-140 [Conf]
   
3. Daniel A. Keim, Alexander Hinneburg
   Clustering Techniques for Large Data Sets - from the Past to the Future. [Citation Graph (0, 0)][DBLP]
   KDD Tutorial Notes, 1999, pp:141-181 [Conf]
   
4. Ronen Feldman
   Mining Unstructured Data. [Citation Graph (0, 0)][DBLP]
   KDD Tutorial Notes, 1999, pp:182-236 [Conf]
   
5. John F. Elder IV, Greg Ridgeway
   Combining Estimators to Improve Performance. [Citation Graph (0, 0)][DBLP]
   KDD Tutorial Notes, 1999, pp:237-265 [Conf]
   
6. Marcel Holsheimer
   Data Mining by Business Users: Integrating Data Mining in Business Processes. [Citation Graph (0, 0)][DBLP]
   KDD Tutorial Notes, 1999, pp:266-291 [Conf]