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Publication search results
found 35 matches
- 2002
- Olivier Adam, Olivier Léonard:
Explicit Thermodynamic Properties using Radial Basis Functions Neural Networks. SDM 2002: 275-296 - Tatsuya Asai, Kenji Abe, Shinji Kawasoe, Hiroki Arimura, Hiroshi Sakamoto, Setsuo Arikawa:
Efficient Substructure Discovery from Large Semi-structured Data. SDM 2002: 158-174 - Arindam Banerjee, Joydeep Ghosh:
On Scaling Up Balanced Clustering Algorithms. SDM 2002: 333-349 - Pavel Berkhin, Jonathan D. Becher:
Learning Simple Relations: Theory and Applications. SDM 2002: 420-436 - João B. D. Cabrera, Raman K. Mehra:
Extracting Precursor Rules from Time SeriesA Classical Statistical Viewpoint. SDM 2002: 213-228 - Arindam Choudhury, Prasanth B. Nair, Andy J. Keane:
A Data Parallel Approach for Large-Scale Gaussian Process Modeling. SDM 2002: 95-111 - Selina Chu, Eamonn J. Keogh, David M. Hart, Michael J. Pazzani:
Iterative Deepening Dynamic Time Warping for Time Series. SDM 2002: 195-212 - Gao Cong, Lan Yi, Bing Liu, Ke Wang:
Discovering Frequent Substructures from Hierarchical Semi-structured Data. SDM 2002: 175-192 - Ian Davidson:
Visualizing Clustering Results. SDM 2002: 3-18 - Hasan Davulcu, Saikat Mukherjee, I. V. Ramakrishnan:
A Clustering Technique for Mining Data from Text Tables. SDM 2002: 315-332 - Carlotta Domeniconi, Dimitrios Gunopulos:
Efficient Local Flexible Nearest Neighbor Classification. SDM 2002: 353-369 - Wei Fan, Salvatore J. Stolfo:
Ensemble-based Adaptive Intrusion Detection. SDM 2002: 41-58 - Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo:
A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits. SDM 2002: 437-453 - Glenn Fung, Olvi L. Mangasarian:
Incremental Support Vector Machine Classification. SDM 2002: 247-260 - Rattikorn Hewett, John H. Leuchner:
The Power of Second-Order Decision Tables. SDM 2002: 384-399 - Ruoming Jin, Gagan Agrawal:
Shared Memory Paraellization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. SDM 2002: 77-94 - Chandrika Kamath, Erick Cantú-Paz, David Littau:
Approximate Splitting for Ensembles of Trees using Histograms. SDM 2002: 370-383 - Pankaj Kankar, Sudeshna Adak, A. Sarkar, K. Murali, Gaurav Sharma:
MedMeSH Summarizer: Text Mining for Gene Clusters. SDM 2002: 548-565 - Chang-Hung Lee, Philip S. Yu, Ming-Syan Chen:
Mining Relationship between Triggering and Consequential Events in a Short Transaction Database. SDM 2002: 403-419 - Feng Liang, Sheng Ma, Joseph L. Hellerstein:
Discovering Fully Dependent Patterns. SDM 2002: 511-527 - Cheng-Ru Lin, Ming-Syan Chen:
On the Optimal Clustering of Sequential Data. SDM 2002: 141-157 - Bertis B. Little, Walter L. Johnston, Ashley C. Lovell, Roderick M. Rejesus, Steve A. Steed:
Collusion in the U. S. Crop Insurance Program: Applied Data Mining. SDM 2002: 583-597 - Christopher Meek, David Maxwell Chickering, David Heckerman:
Autoregressive Tree Models for Time-Series Analysis. SDM 2002: 229-244 - Vasileios Megalooikonomou:
Evaluating the Performance of Association Mining Methods in 3-D Medical Image Databases. SDM 2002: 474-493 - Michinari Momma, Kristin P. Bennett:
A Pattern Search Method for Model Selection of Support Vector Regression. SDM 2002: 261-274 - Olfa Nasraoui, Raghu Krishnapuram:
One Step Evolutionary Mining of Context Sensitive Associations and Web Navigation Patterns. SDM 2002: 531-547 - Ramesh Natarajan, Edwin P. D. Pednault:
Segmented Regression Estimators for Massive Data Sets. SDM 2002: 566-582 - Peter van der Putten, Joost N. Kok, Amar Gupta:
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out. SDM 2002: 128-138 - Sergio M. Savaresi, Daniel Boley, Sergio Bittanti, Giovanna Gazzaniga:
Cluster Selection in Divisive Clustering Algorithms. SDM 2002: 299-314 - Adriano Veloso, Wagner Meira Jr., Márcio de Carvalho, Bruno Pôssas, Srinivasan Parthasarathy, Mohammed Javeed Zaki:
Mining Frequent Itemsets in Evolving Databases. SDM 2002: 494-510
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retrieved on 2024-05-23 20:17 CEST from data curated by the dblp team
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