George H. John

According to our database, George H. John authored at least 17 papers between 1994 and 1999.

Collaborative distances:

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

1999

Behind-the-Scenes Data Mining: A Report on the KDD-98 Panel.

George H. John

SIGKDD Explor., 1999

1997

Enhancements to the data mining process.

George H. John

PhD thesis, 1997

Wrappers for Feature Subset Selection.

Ron Kohavi, George H. John

Artif. Intell., 1997

SIPping from the Data Firehose.

George H. John, Brian Lent

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Mortgage data mining.

George H. John, Yin Zhao

Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

1996

Stock Selection Using Rule Induction.

George H. John, Peter Miller, Randy Kerber

IEEE Expert, 1996

Static Versus Dynamic Sampling for Data Mining.

George H. John, Pat Langley

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Building long/short portfolios using rule induction.

George H. John, Peter Miller

Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996

1995

Estimating Continuous Distributions in Bayesian Classifiers.

George H. John, Pat Langley

Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Robust Decision Trees: Removing Outliers from Databases.

George H. John

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Cascade correlation: derivation of a more numerically stable update rule.

George H. John

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Automatic Parameter Selection by Minimizing Estimated Error.

Ron Kohavi, George H. John

Proceedings of the Machine Learning, 1995

Robust Linear Discriminant Trees.

George H. John

Proceedings of the Learning from Data, 1995

1994

MLC++: A Machine Learning Library in C++.

Ron Kohavi, George H. John, Richard Long, David Manley, Karl Pfleger

Proceedings of the Sixth International Conference on Tools with Artificial Intelligence, 1994

Irrelevant Features and the Subset Selection Problem.

George H. John, Ron Kohavi, Karl Pfleger

Proceedings of the Machine Learning, 1994

When the Best Move Isn't Optimal: Q-learning with Exploration.

George H. John

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

Finding Multivariate Splits in Decision Trees Using Function Optimization.

George H. John

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994