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Data Mining and Knowledge Discovery, Volume 1
Volume 1, Number 1, March 1997
Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth:
Statistical Themes and Lessons for Data Mining. 11-28- Jim Gray, Surajit Chaudhuri, Adam Bosworth, Andrew Layman, Don Reichart, Murali Venkatrao, Frank Pellow, Hamid Pirahesh:
Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab, and Sub Totals. 29-53 - Inderpal S. Bhandari, Edward Colet, Jennifer Parker, Zachary Pines, Rajiv Pratap, Krishnakumar Ramanujam:
Advanced Scout: Data Mining and Knowledge Discovery in NBA Data. 121-125
Volume 1, Number 2, June 1997
- Tian Zhang, Raghu Ramakrishnan, Miron Livny:
BIRCH: A New Data Clustering Algorithm and Its Applications. 141-182 - Gregory F. Cooper:
A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships. 203-224 - Kenneth C. Cox, Stephen G. Eick, Graham J. Wills, Ronald J. Brachman:
Visual Data Mining: Recognizing Telephone Calling Fraud. 225-231
Volume 1, Number 3, September 1997
- Heikki Mannila, Hannu Toivonen:
Levelwise Search and Borders of Theories in Knowledge Discovery. 241-258 - Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Discovery of Frequent Episodes in Event Sequences. 259-289
Volume 1, Number 4, December 1997
- Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li:
Parallel Algorithms for Discovery of Association Rules. 343-373 - Haim Schweitzer:
A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images. 375-390 - Sanjay Goil, Alok N. Choudhary:
High Performance OLAP and Data Mining on Parallel Computers. 391-417 - David W. Pfitzner, John K. Salmon, Thomas L. Sterling:
Halo World: Tools for Parallel Cluster Finding in Astrophysical N-body Simulations. 419-438
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last updated on 2015-02-27 00:53 CET by the dblp team