Tutorials of the Fifth International Conference on Knowledge Discovery and Data Mining
KDD-T, 1999.
@proceedings{KDD-T-1999,
publisher = "{ACM}",
title = "{Tutorials of the Fifth International Conference on Knowledge Discovery and Data Mining}",
year = 1999,
}
Contents (6 items)
- KDD-T-1999-GehrkeLR #classification
- Classification and Regression: Money *can* Grow on Trees (JG, WYL, RR), pp. 1–73.
- KDD-T-1999-RastogiS #algorithm #database #mining #scalability
- Scalable Algorithms for Mining Large Databases (RR, KS), pp. 73–140.
- KDD-T-1999-KeimH #clustering #scalability #set
- Clustering Techniques for Large Data Sets — from the Past to the Future (DAK, AH), pp. 141–181.
- KDD-T-1999-Feldman #mining #semistructured data
- Mining Unstructured Data (RF), pp. 182–236.
- KDD-T-1999-ElderR #performance
- Combining Estimators to Improve Performance (JFEI, GR), pp. 237–265.
- KDD-T-1999-Holsheimer #data mining #mining #process
- Data Mining by Business Users: Integrating Data Mining in Business Processes (MH), pp. 266–291.