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ORCIDData Mining and Knowledge Discovery, Volume 2
Volume 2, Number 1, January 1998
- Usama M. Fayyad:
Editorial. 5-7 - Mauricio A. Hernández, Salvatore J. Stolfo:
Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem. 9-37 - Craig Silverstein, Sergey Brin, Rajeev Motwani:
Beyond Market Baskets: Generalizing Association Rules to Dependence Rules. 39-68 - Chun-Nan Hsu, Craig A. Knoblock
:
Discovering Robust Knowledge from Databases that Change. 69-95 - Kanti Bansal, Sanjeev Vadhavkar, Amar Gupta:
Brief Application Description. Neural Networks Based Forecasting Techniques for Inventory Control Applications. 97-102
Volume 2, Number 2, June 1998
- Usama M. Fayyad:
Editorial. 115-119 - Christopher J. C. Burges:
A Tutorial on Support Vector Machines for Pattern Recognition. 121-167 - Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu:
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. 169-194 - Rosa Meo, Giuseppe Psaila, Stefano Ceri:
An Extension to SQL for Mining Association Rules. 195-224
Volume 2, Number 3, September 1998
- Raymond T. Ng, Jiawei Han, Laks V. S. Lakshmanan:
Editorial. 231-232 - Sau Dan Lee, David Wai-Lok Cheung, Ben Kao:
Is Sampling Useful in Data Mining? A Case in the Maintenance of Discovered Association Rules. 233-262 - Jef Wijsen, Robert Meersman:
On the Complexity of Mining Quantitative Association Rules. 263-281 - Zhexue Huang:
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values. 283-304
Volume 2, Number 4, December 1998
- Jon M. Kleinberg, Christos H. Papadimitriou, Prabhakar Raghavan:
A Microeconomic View of Data Mining. 311-324 - Daniel Boley:
Principal Direction Divisive Partitioning. 325-344 - Sreerama K. Murthy:
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey. 345-389 - Yukinobu Hamuro, Naoki Katoh, Yasuyuki Matsuda, Katsutoshi Yada:
Mining Pharmacy Data Helps to Make Profits. 391-398
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