Paul S. Bradley

According to our database, Paul S. Bradley authored at least 20 papers between 1996 and 2005.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2005

On the Use of Wavelet Decomposition for String Classification.

Charu C. Aggarwal, Paul S. Bradley

Data Min. Knowl. Discov., 2005

2003

Data Mining as an Automated Service.

Paul S. Bradley

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

2002

Scaling mining algorithms to large databases.

Paul S. Bradley, Johannes Gehrke, Raghu Ramakrishnan, Ramakrishnan Srikant

Commun. ACM, 2002

2001

Model Based Population Tracking and Automatic Detection of Distribution Changes.

Igor V. Cadez, Paul S. Bradley

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Efficient discovery of error-tolerant frequent itemsets in high dimensions.

Cheng Yang, Usama M. Fayyad, Paul S. Bradley

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

E-business enterprise data mining.

Usama M. Fayyad, Neal Rothleder, Paul S. Bradley

KDD Tutorials, 2001

2000

Editorial.

Paul S. Bradley, Sunita Sarawagi, Usama M. Fayyad

SIGKDD Explorations, 2000

Editorial.

Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim

SIGKDD Explorations, 2000

k-Plane Clustering.

Paul S. Bradley, Olvi L. Mangasarian

J. Global Optimization, 2000

Clustering Very Large Databases Using EM Mixture Models.

Paul S. Bradley, Cory Reina, Usama M. Fayyad

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Mathematical Programming for Data Mining: Formulations and Challenges.

Paul S. Bradley, Usama M. Fayyad, Olvi L. Mangasarian

INFORMS Journal on Computing, 1999

Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions.

Jayavel Shanmugasundaram, Usama M. Fayyad, Paul S. Bradley

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998

Feature Selection via Mathematical Programming.

Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street

INFORMS Journal on Computing, 1998

Parsimonious Least Norm Approximation.

Paul S. Bradley, Olvi L. Mangasarian, J. Ben Rosen

Comp. Opt. and Appl., 1998

Initialization of Iterative Refinement Clustering Algorithms.

Usama M. Fayyad, Cory Reina, Paul S. Bradley

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Scaling Clustering Algorithms to Large Databases.

Paul S. Bradley, Usama M. Fayyad, Cory Reina

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Feature Selection via Concave Minimization and Support Vector Machines.

Paul S. Bradley, Olvi L. Mangasarian

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Refining Initial Points for K-Means Clustering.

Paul S. Bradley, Usama M. Fayyad

Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Parsimonious side propagation.

Paul S. Bradley, Olvi L. Mangasarian

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1996

Clustering via Concave Minimization.

Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street

Proceedings of the Advances in Neural Information Processing Systems 9, 1996