George Forman

According to our database1, George Forman authored at least 36 papers between 1993 and 2015.

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Bibliography

2015
Mining Large-Scale GPS Streams for Connectivity Refinement of Road Maps.
Comput. J., 2015

Clustering by Intent: A Semi-Supervised Method to Discover Relevant Clusters Incrementally.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2013
CrowdAtlas: self-updating maps for cloud and personal use.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

CrowdAtlas: self-updating maps for cloud and personal use.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Map matching: comparison of approaches using sparse and noisy data.
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.
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.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Mining large-scale, sparse GPS traces for map inference: comparison of approaches.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Fast Viterbi map matching with tunable weight functions.
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.
SIGKDD Explorations, 2010

A novel traffic analysis for identifying search fields in the long tail of web sites.
Proceedings of the 19th International Conference on World Wide Web, 2010

2009
Efficient detection of large-scale redundancy in enterprise file systems.
Operating Systems Review, 2009

Feature shaping for linear SVM classifiers.
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.
Data Min. Knowl. Discov., 2008

Scaling up text classification for large file systems.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Extremely fast text feature extraction for classification and indexing.
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.
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.
Proceedings of the 2007 USENIX Annual Technical Conference, 2007

2006
Tackling concept drift by temporal inductive transfer.
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.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Quantifying trends accurately despite classifier error and class imbalance.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Evolving Feature Selection.
IEEE Intelligent Systems, 2005

Finding similar files in large document repositories.
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.
Proceedings of the Machine Learning: ECML 2005, 2005

Counting Positives Accurately Despite Inaccurate Classification.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Learning from Little: Comparison of Classifiers Given Little Training.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

A pitfall and solution in multi-class feature selection for text classification.
Proceedings of the Machine Learning, 2004

2003
An Extensive Empirical Study of Feature Selection Metrics for Text Classification.
Journal of Machine Learning Research, 2003

2002
Feature Engineering for a Gene Regulation Prediction Task.
SIGKDD Explorations, 2002

Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification.
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.
Proceedings of the 2nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2002), 2002

2000
Distributed Data Clustering Can Be Efficient and Exact.
SIGKDD Explorations, 2000

Accurate Recasting of Parameter Estimation Algorithms Using Sufficient Statistics for Efficient Parallel Speed-Up: Demonstrated for Center-Based Data Clustering Algorithms.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

1994
The Challenges of Mobile Computing.
IEEE Computer, 1994

1993
The Ariadne Debugger: Scalable Application of Event-Based Abstraction.
Proceedings of the ACM/ONR Workshop on Parallel and Distributed Debugging, 1993


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