Tutorials of the Fifth International Conference on Knowledge Discovery and Data Mining
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Tutorials of the Fifth International Conference on Knowledge Discovery and Data Mining
KDD-T, 1999.

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@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.

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