George Forman

According to our database, George Forman authored at least 39 papers between 1993 and 2021.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2021

Getting Your Package to the Right Place: Supervised Machine Learning for Geolocation.

George Forman

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

What's Mine is Yours, What's Yours is Mine: Simplifying Significance Testing With Big Data.

Karan Matnani, Valerie Liptak, George Forman

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2015

Mining Large-Scale GPS Streams for Connectivity Refinement of Road Maps.

Yanmin Zhu, Yin Wang, George Forman, Hong Wei

Comput. J., 2015

Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally.

George Forman, Hila Nachlieli, Renato Keshet

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2013

CrowdAtlas: self-updating maps for cloud and personal use.

Yin Wang, Xuemei Liu, Hong Wei, George Forman, Yanmin Zhu

Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

CrowdAtlas: self-updating maps for cloud and personal use.

Yin Wang, Xuemei Liu, Hong Wei, George Forman, Chao Chen, Yanmin Zhu

Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Map matching: comparison of approaches using sparse and noisy data.

Hong Wei, Yin Wang, George Forman, Yanmin Zhu

Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

Mining large-scale gps streams for connectivity refinement of road maps.

Yin Wang, Hong Wei, George Forman

Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

2012

Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable.

George Forman

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com.

Evan Kirshenbaum, George Forman, Michael Dugan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Mining large-scale, sparse GPS traces for map inference: comparison of approaches.

Xuemei Liu, James Biagioni, Jakob Eriksson, Yin Wang, George Forman, Yanmin Zhu

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast Viterbi map matching with tunable weight functions.

Hong Wei, Yin Wang, George Forman, Yanmin Zhu, Haibing Guan

Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

2010

Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement.

George Forman, Martin Scholz

SIGKDD Explor., 2010

A novel traffic analysis for identifying search fields in the long tail of web sites.

George Forman, Evan Kirshenbaum, Shyamsundar Rajaram

Proceedings of the 19th International Conference on World Wide Web, 2010

2009

Efficient detection of large-scale redundancy in enterprise file systems.

George Forman, Kave Eshghi, Jaap Suermondt

ACM SIGOPS Oper. Syst. Rev., 2009

Feature shaping for linear SVM classifiers.

George Forman, Martin Scholz, Shyamsundar Rajaram

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Quantifying counts and costs via classification.

George Forman

Data Min. Knowl. Discov., 2008

Scaling up text classification for large file systems.

George Forman, Shyamsundar Rajaram

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Extremely fast text feature extraction for classification and indexing.

George Forman, Evan Kirshenbaum

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

BNS feature scaling: an improved representation over tf-idf for svm text classification.

George Forman

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Cool Job Allocation: Measuring the Power Savings of Placing Jobs at Cooling-Efficient Locations in the Data Center.

Cullen E. Bash, George Forman

Proceedings of the 2007 USENIX Annual Technical Conference, 2007

2006

Tackling concept drift by temporal inductive transfer.

George Forman

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Pragmatic text mining: minimizing human effort to quantify many issues in call logs.

George Forman, Evan Kirshenbaum, Jaap Suermondt

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Quantifying trends accurately despite classifier error and class imbalance.

George Forman

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Evolving Feature Selection.

Huan Liu, Edward R. Dougherty, Jennifer G. Dy, Kari Torkkola, Eugene Tuv, Hanchuan Peng, Chris H. Q. Ding, Fuhui Long, Michael E. Berens, Lance Parsons, Zheng Zhao, Lei Yu, George Forman

IEEE Intell. Syst., 2005

Finding similar files in large document repositories.

George Forman, Kave Eshghi, Stephane Chiocchetti

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers.

George Forman, Ira Cohen

Proceedings of the Machine Learning: ECML 2005, 2005

Counting Positives Accurately Despite Inaccurate Classification.

George Forman

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Learning from Little: Comparison of Classifiers Given Little Training.

George Forman, Ira Cohen

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

A pitfall and solution in multi-class feature selection for text classification.

George Forman

Proceedings of the Machine Learning, 2004

2003

An Extensive Empirical Study of Feature Selection Metrics for Text Classification.

George Forman

J. Mach. Learn. Res., 2003

2002

Feature Engineering for a Gene Regulation Prediction Task.

George Forman

SIGKDD Explor., 2002

Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification.

George Forman

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery.

George Forman

Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

2000

Distributed Data Clustering Can Be Efficient and Exact.

George Forman, Bin Zhang

SIGKDD Explor., 2000

Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms.

Bin Zhang, Meichun Hsu, George Forman

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1999

Spambase.

Mark Hopkins, Erik Reeber, George Forman, Jaap Suermondt

Dataset, June, 1999

1994

The Challenges of Mobile Computing.

George Forman, John Zahorjan

Computer, 1994

1993

The Ariadne Debugger: Scalable Application of Event-Based Abstraction.

Janice E. Cuny, George Forman, Alfred Hough, Joydip Kundu, Calvin Lin, Lawrence Snyder, David W. Stemple

Proceedings of the ACM/ONR Workshop on Parallel and Distributed Debugging, 1993