5. KDD 1999: San Diego, CA, USA

Tutorial Notes for ACM SIGKDD 1999 International Conference on Knowledge Discovery and Data Mining, August 15-18, 1999, San Diego, CA, USA. ACM, 1999

Johannes Gehrke, Wei-Yin Loh, Raghu Ramakrishnan:
Classification and Regression: Money *can* Grow on Trees. 1-73
Electronic Edition (ACM DL) BibTeX
Rajeev Rastogi, Kyuseok Shim:
Scalable Algorithms for Mining Large Databases. 73-140
Electronic Edition (ACM DL) BibTeX
Daniel A. Keim, Alexander Hinneburg:
Clustering Techniques for Large Data Sets - from the Past to the Future. 141-181
Electronic Edition (ACM DL) BibTeX
Ronen Feldman:
Mining Unstructured Data. 182-236
Electronic Edition (ACM DL) BibTeX
John F. Elder IV, Greg Ridgeway:
Combining Estimators to Improve Performance. 237-265
Electronic Edition (ACM DL) BibTeX
Marcel Holsheimer:
Data Mining by Business Users: Integrating Data Mining in Business Processes. 266-291
Electronic Edition (ACM DL) BibTeX