SLIQ: A Fast Scalable Classifier for Data Mining.

Manish Mehta, Rakesh Agrawal, Jorma Rissanen: SLIQ: A Fast Scalable Classifier for Data Mining. EDBT 1996: 18-32
  author    = {Manish Mehta 0002 and
               Rakesh Agrawal and
               Jorma Rissanen},
  editor    = {Peter M. G. Apers and
               Mokrane Bouzeghoub and
               Georges Gardarin},
  title     = {SLIQ: A Fast Scalable Classifier for Data Mining},
  booktitle = {Advances in Database Technology - EDBT'96, 5th International
               Conference on Extending Database Technology, Avignon, France,
               March 25-29, 1996, Proceedings},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1057},
  year      = {1996},
  isbn      = {3-540-61057-X},
  pages     = {18-32},
  ee        = {db/conf/edbt/MehtaAR96.html},
  crossref  = {DBLP:conf/edbt/96},
  bibsource = {DBLP,}

ACM SIGMOD Anthology

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Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Database Mining: A Performance Perspective. IEEE Trans. Knowl. Data Eng. 5(6): 914-925(1993) BibTeX
Leo Breiman, J. H. Friedman, R. A. Olshen, C. J. Stone: Classification and Regression Trees. Wadsworth 1984, ISBN 0-534-98053-8
Rakesh Agrawal, Sakti P. Ghosh, Tomasz Imielinski, Balakrishna R. Iyer, Arun N. Swami: An Interval Classifier for Database Mining Applications. VLDB 1992: 560-573 BibTeX
Manish Mehta, Jorma Rissanen, Rakesh Agrawal: MDL-Based Decision Tree Pruning. KDD 1995: 216-221 BibTeX
Donald Michie, David J. Spiegelhalter, C. C. Taylor: Machine Learning, Neural and Statistical Classification. Ellis Horwood 1994, ISBN 0-13-106360-X
J. Ross Quinlan, Ronald L. Rivest: Inferring Decision Trees Using the Minimum Description Length Principle. Inf. Comput. 80(3): 227-248(1989) BibTeX
J. Ross Quinlan: C4.5: Programs for Machine Learning. Morgan Kaufmann 1993, ISBN 1-55860-238-0
Chris S. Wallace, J. D. Patrick: Coding Decision Trees. Machine Learning 11: 7-22(1993) BibTeX
Sholom M. Weiss, Casimir A. Kulikowski: Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems. Morgan Kaufmann 1990, ISBN 1-55860-065-5

Referenced by

  1. Rakesh Agrawal, Ramakrishnan Srikant: Privacy-Preserving Data Mining. SIGMOD Conference 2000: 439-450
  2. Giovanni Giuffrida, Wesley W. Chu, Dominique M. Hanssens: Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes. EDBT 2000: 335-349
  3. Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishnan, Wei-Yin Loh: BOAT-Optimistic Decision Tree Construction. SIGMOD Conference 1999: 169-180
  4. Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan: A Framework for Measuring Changes in Data Characteristics. PODS 1999: 126-137
  5. Mohammed Javeed Zaki, Ching-Tien Ho, Rakesh Agrawal: Parallel Classification for Data Mining on Shared-Memory Multiprocessors. ICDE 1999: 198-205
  6. Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt: Scalable Classification over SQL Databases. ICDE 1999: 470-479
  7. Philip S. Yu: Data Mining and Personalization Technologies. DASFAA 1999: 6-13
  8. Jiawei Han: Towards On-Line Analytical Mining in Large Databases. SIGMOD Record 27(1): 97-107(1998)
  9. Usama M. Fayyad: Mining Databases: Towards Algorithms for Knowledge Discovery. IEEE Data Eng. Bull. 21(1): 39-48(1998)
  10. Rajeev Rastogi, Kyuseok Shim: PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. VLDB 1998: 404-415
  11. Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Ganti: RainForest - A Framework for Fast Decision Tree Construction of Large Datasets. VLDB 1998: 416-427
  12. Giovanni Giuffrida, Lee G. Cooper, Wesley W. Chu: A Scalable Bottum-Up Data Mining Algorithm for Relational Databases. SSDBM 1998: 206-209
  13. Soumen Chakrabarti, Byron Dom, Piotr Indyk: Enhanced Hypertext Categorization Using Hyperlinks. SIGMOD Conference 1998: 307-318
  14. Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. SIGMOD Conference 1998: 94-105
  15. Vladimir Novacek: Data Mining Query Language for Object-Oriented Database. ADBIS 1998: 278-283
  16. Yasuhiko Morimoto, Hiromu Ishii, Shinichi Morishita: Efficient Construction of Regression Trees with Range and Region Splitting. VLDB 1997: 166-175
  17. Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt: Mining Insurance Data at Swiss Life. VLDB 1997: 562-566
  18. Usama M. Fayyad: Data Mining and Knowledge Discovery in Databases: Implications for Scientific Databases. SSDBM 1997: 2-11
  19. Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur: Dynamic Itemset Counting and Implication Rules for Market Basket Data. SIGMOD Conference 1997: 255-264
  20. Brian Lent, Arun N. Swami, Jennifer Widom: Clustering Association Rules. ICDE 1997: 220-231
  21. Ming-Syan Chen, Jiawei Han, Philip S. Yu: Data Mining: An Overview from a Database Perspective. IEEE Trans. Knowl. Data Eng. 8(6): 866-883(1996)
  22. John C. Shafer, Rakesh Agrawal, Manish Mehta: SPRINT: A Scalable Parallel Classifier for Data Mining. VLDB 1996: 544-555
  23. Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules. VLDB 1996: 146-155
  24. Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization. SIGMOD Conference 1996: 13-23
  25. Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Mining Optimized Association Rules for Numeric Attributes. PODS 1996: 182-191
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