George Forman

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

George Forman, George Forman, 2008, CIKM '08.

Feature selection: We've barely scratched the surface

Huan Liu, Hanchuan Peng, Fuhui Long, 2005 .

Automated Whole-System Diagnosis of Distributed Services Using Model-Based Reasoning

George Forman, Mudita Jain, Masoud Mansouri-Samani, 1998 .

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

George Forman, Martin Scholz, George Forman, 2010, SKDD.

Quantifying trends accurately despite classifier error and class imbalance

George Forman, George Forman, 2006, KDD '06.

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

George Forman, 2002, BIOKDD.

CrowdAtlas: self-updating maps for cloud and personal use

Yin Wang, Yanmin Zhu, Hong Wei, 2013, MobiSys '13.

A leveling theory.

George Forman, 1983 .

Documentation and Accountability: The Shift From Numbers to Indexed Narratives

George Forman, 2009 .

A Method for Discovering the Insignificance of One's Best Classifier and the Unlearnability of a Classification Task

George Forman, 2002 .

Practical Optimization Considerations For Diagnostic Knowledge Representation

George Forman, Evan R. Kirshenbaum, Jaap Suermondt, 1999 .

CrowdAtlas: self-updating maps for cloud and personal use

Yin Wang, Chao Chen, Yanmin Zhu, 2013, MobiSys '13.

The challenges of mobile computing

John Zahorjan, George Forman, J. Zahorjan, 1994, Computer.

Feature engineering for a gene regulation prediction task

George Forman, 2002, SKDD.

Automated End-To-End System Diagnosis of Networked Printing Services Using Model-Based Reasoning

Alex C. Snoeren, George Forman, Mudita Jain, 1998 .

Beware the Null Hypothesis: Critical Value Tables for Evaluating Classifiers

George Forman, Ira Cohen, I. Cohen, 2005, ECML.

Learning from Little: Comparison of Classifiers Given Little Training

George Forman, Ira Cohen, I. Cohen, 2004, PKDD.

Quantifying counts and costs via classification

George Forman, George Forman, 2008, Data Mining and Knowledge Discovery.

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

George Forman, 2012, SDM.

Scaling up text classification for large file systems

George Forman, Shyamsundar Rajaram, S. Rajaram, 2008, KDD.

Data Center Workload Placement for Energy Efficiency

Cullen E. Bash, George Forman, 2007 .

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

Meichun Hsu, Bin Zhang, George Forman, 2000, PKDD.

Automatic text and data stream segmentation using weighted feature extraction

George Forman, Boris Dadachev, Alexander Balinsky, 2013 .

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

George Forman, 2002, PKDD.

Tackling concept drift by temporal inductive transfer

George Forman, George Forman, 2006, SIGIR.

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

George Forman, Hila Nachlieli, Renato Keshet, 2015, ECML/PKDD.

Distributed data clustering can be efficient and exact

Bin Zhang, George Forman, Bin Zhang, 2000, SKDD.

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

George Forman, Cullen Bash, C. Bash, 2007, USENIX Annual Technical Conference.

Map matching: comparison of approaches using sparse and noisy data

Yin Wang, Yanmin Zhu, Hong Wei, 2013, SIGSPATIAL/GIS.

Road recognition using coarse-grained vehicular traces

Minglu Li, Yin Wang, Lionel M. Ni, 2012 .

HPF: A comparison of performance and programming style

Ross J. Anderson, Bradford L. Chamberlain, Sung-Eun Choi, 1995 .

Extremely fast text feature extraction for classification and indexing

George Forman, Evan Kirshenbaum, George Forman, 2008, CIKM '08.

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

George Forman, Evan Kirshenbaum, Jaap Suermondt, 2006, KDD '06.

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

Yin Wang, Yanmin Zhu, George Forman, 2012, KDD.

Efficient detection of large-scale redundancy in enterprise file systems

George Forman, Kave Eshghi, Jaap Suermondt, 2009, OPSR.

Evolving Feature Selection

Chris H. Q. Ding, Hanchuan Peng, Fuhui Long, 2005, IEEE Intell. Syst..

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

George Forman, Evan Kirshenbaum, Shyamsundar Rajaram, 2010, WWW '10.

Fast Viterbi map matching with tunable weight functions

Yin Wang, Haibing Guan, Yanmin Zhu, 2012, SIGSPATIAL/GIS.

Learning from Imbalanced Data: Evaluation Matters

Nitesh V. Chawla, George Forman, Troy Raeder, 2012 .

Feature shaping for linear SVM classifiers

George Forman, Martin Scholz, Shyamsundar Rajaram, 2009, KDD.

George Forman, Kave Eshghi, Stephane Chiocchetti, 2005, KDD '05.

Feature Selection for Text Classification

George Forman, 2007 .

Counting Positives Accurately Despite Inaccurate Classification

George Forman, George Forman, 2005, ECML.

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

Yin Wang, Hong Wei, George Forman, 2013, SIGSPATIAL/GIS.

An Extensive Empirical Study of Feature Selection Metrics for Text Classification

George Forman, George Forman, 2003, J. Mach. Learn. Res..

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

George Forman, George Forman, 2004, ICML.

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

Yin Wang, Yanmin Zhu, Hong Wei, 2013, Comput. J..

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

George Forman, Evan Kirshenbaum, Michael Dugan, 2012, ECML/PKDD.

The Ariadne debugger: scalable application of event-based abstraction

David W. Stemple, Lawrence Snyder, Janice E. Cuny, 1993, PADD '93.

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

George Forman, George Forman, 2021, ECML/PKDD.

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

George Forman, Karan Matnani, Valerie Liptak, 2021, EDBT/ICDT Workshops.

Where's the Action in Knowing?

George Forman, George Forman, 1983 .