Paul S. Bradley

According to our database1, Paul S. Bradley authored at least 20 papers between 1996 and 2005.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2005
On the Use of Wavelet Decomposition for String Classification.
Data Min. Knowl. Discov., 2005

2003
Data Mining as an Automated Service.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

2002
Scaling mining algorithms to large databases.
Commun. ACM, 2002

2001
Model Based Population Tracking and Automatic Detection of Distribution Changes.
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.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

E-business enterprise data mining.
KDD Tutorials, 2001

2000
Editorial.
SIGKDD Explorations, 2000

Editorial.
SIGKDD Explorations, 2000

k-Plane Clustering.
J. Global Optimization, 2000

Clustering Very Large Databases Using EM Mixture Models.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Mathematical Programming for Data Mining: Formulations and Challenges.
INFORMS Journal on Computing, 1999

Compressed Data Cubes for OLAP Aggregate Query Approximation on Continuous Dimensions.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998
Feature Selection via Mathematical Programming.
INFORMS Journal on Computing, 1998

Parsimonious Least Norm Approximation.
Comp. Opt. and Appl., 1998

Initialization of Iterative Refinement Clustering Algorithms.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Scaling Clustering Algorithms to Large Databases.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

Feature Selection via Concave Minimization and Support Vector Machines.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Refining Initial Points for K-Means Clustering.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

Parsimonious side propagation.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1996
Clustering via Concave Minimization.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996


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