Ron Kohavi

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 5

Top Topics

Search Based Software Testing

Adaptive Web Sites

Low False Positive Rate

Top Venues

Publications

Ron Kohavi, Nanyu Chen
False Positives in A/B Tests. KDD (2024)
Ron Kohavi, Alex Deng, Lukas Vermeer
A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments. KDD (2022)
Alex Deng, Pavel A. Dmitriev, Somit Gupta, Ron Kohavi, Paul Raff, Lukas Vermeer
A/B Testing at Scale: Accelerating Software Innovation. SIGIR (2017)
Pavel A. Dmitriev, Brian Frasca, Somit Gupta, Ron Kohavi, Garnet Jason Vaz
Pitfalls of long-term online controlled experiments. IEEE BigData (2016)
Ron Kohavi
Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years. KDD (2015)
Ron Kohavi, Alex Deng, Roger Longbotham, Ya Xu
Seven rules of thumb for web site experimenters. KDD (2014)
Ron Kohavi, Alex Deng, Brian Frasca, Toby Walker, Ya Xu, Nils Pohlmann
Online controlled experiments at large scale. KDD (2013)
Alex Deng, Ya Xu, Ron Kohavi, Toby Walker
Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. WSDM (2013)
Ron Kohavi
Online controlled experiments: introduction, learnings, and humbling statistics. RecSys (2012)
Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbotham, Toby Walker, Ya Xu
Trustworthy online controlled experiments: five puzzling outcomes explained. KDD (2012)
Ron Kohavi, Roger Longbotham
Unexpected results in online controlled experiments. SIGKDD Explor. 12 (2) (2010)
Ron Kohavi, Roger Longbotham, Toby Walker
Online Experiments: Practical Lessons. Computer 43 (9) (2010)
Ron Kohavi, Roger Longbotham, Dan Sommerfield, Randal M. Henne
Controlled experiments on the web: survey and practical guide. Data Min. Knowl. Discov. 18 (1) (2009)
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Longbotham
Seven pitfalls to avoid when running controlled experiments on the web. KDD (2009)
Ron Kohavi, Roger Longbotham
Online Experiments: Lessons Learned. Computer 40 (9) (2007)
Ron Kohavi, Randal M. Henne, Dan Sommerfield
Practical guide to controlled experiments on the web: listen to your customers not to the hippo. KDD (2007)
Ron Kohavi
Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce. PKDD (2005)
Ron Kohavi, Llew Mason, Rajesh Parekh, Zijian Zheng
Lessons and Challenges from Mining Retail E-Commerce Data. Mach. Learn. 57 (1-2) (2004)
Ron Kohavi, Rajesh Parekh
Visualizing RFM Segmentation. SDM (2004)
Ron Kohavi, Neal Rothleder, Evangelos Simoudis
Emerging trends in business analytics. Commun. ACM 45 (8) (2002)
Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava
Web Mining. Data Min. Knowl. Discov. 6 (1) (2002)
Zijian Zheng, Ron Kohavi, Llew Mason
Real world performance of association rule algorithms. KDD (2001)
Ron Kohavi
Mining e-commerce data: the good, the bad, and the ugly. KDD (2001)
Ron Kohavi, Foster J. Provost
Applications of Data Mining to Electronic Commerce. Data Min. Knowl. Discov. 5 (1/2) (2001)
Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng
Integrating E-Commerce and Data Mining: Architecture and Challenges. ICDM (2001)
Ron Kohavi
Mining E-Commerce Data: The Good, the Bad, and the Ugly. PAKDD (2001)
Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng
Integrating E-Commerce and Data Mining: Architecture and Challenges CoRR (2000)
Ron Kohavi, Foster J. Provost
Applications of Data Mining to Electronic Commerce CoRR (2000)
Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi, Brij M. Masand
WEBKDD 2000 - Web Mining for E-Commerce. SIGKDD Explor. 2 (2) (2000)
Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng
KDD-Cup 2000 Organizers' Report: Peeling the Onion. SIGKDD Explor. 2 (2) (2000)
Ron Kohavi, Mehran Sahami
Integrating Data Mining into Vertical Solutions. SIGKDD Explor. 1 (2) (2000)
Ron Kohavi, Myra Spiliopoulou, Jaideep Srivastava
Web mining for e-commerce (workshop session - title only). KDD (2000)
Eric Bauer, Ron Kohavi
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Mach. Learn. 36 (1-2) (1999)
Ron Kohavi, Dan Sommerfield
Targeting Business Users with Decision Table Classifiers. KDD (1998)
Foster J. Provost, Tom Fawcett, Ron Kohavi
The Case against Accuracy Estimation for Comparing Induction Algorithms. ICML (1998)
Foster J. Provost, Ron Kohavi
Guest Editors' Introduction: On Applied Research in Machine Learning. Mach. Learn. 30 (2-3) (1998)
Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley
Pruning Decision Trees with Misclassification Costs. ECML (1998)
Ron Kohavi, Dan Sommerfield, James Dougherty
a Machine Learning Library in C++. Int. J. Artif. Intell. Tools 6 (4) (1997)
Clifford Brunk, James Kelly, Ron Kohavi
MineSet: An Integrated System for Data Mining. KDD (1997)
Ron Kohavi, George H. John
Wrappers for Feature Subset Selection. Artif. Intell. 97 (1-2) (1997)
Ron Kohavi, Clayton Kunz
Option Decision Trees with Majority Votes. ICML (1997)
Ron Kohavi
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. KDD (1996)
Ron Kohavi, Mehran Sahami
Error-Based and Entropy-Based Discretization of Continuous Features. KDD (1996)
Ron Kohavi, David H. Wolpert
Bias Plus Variance Decomposition for Zero-One Loss Functions. ICML (1996)
Jerome H. Friedman, Ron Kohavi, Yeogirl Yun
Lazy Decision Trees. AAAI/IAAI, Vol. 1 (1996)
Ron Kohavi, Dan Sommerfield, James Dougherty
Data Mining Using MLC++: A Machine Learning Library in C++. ICTAI (1996)
Ron Kohavi
Book Review: Empirical Methods for Artificial Intelligence. Int. J. Neural Syst. 7 (2) (1996)
Ron Kohavi
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. IJCAI (1995)
Ron Kohavi
The Power of Decision Tables. ECML (1995)
Ron Kohavi, George H. John
Automatic Parameter Selection by Minimizing Estimated Error. ICML (1995)
Ron Kohavi, Chia-Hsin Li
Oblivious Decision Trees, Graphs, and Top-Down Pruning. IJCAI (1995)
Ron Kohavi, Dan Sommerfield
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology. KDD (1995)
James Dougherty, Ron Kohavi, Mehran Sahami
Supervised and Unsupervised Discretization of Continuous Features. ICML (1995)
Ron Kohavi
Bottom-Up Induction of Oblivious Read-Once Decision Graphs: Strengths and Limitations. AAAI (1994)
Ron Kohavi, George H. John, Richard Long, David Manley, Karl Pfleger
MLC++: A Machine Learning Library in C++. ICTAI (1994)
Ron Kohavi
Bottom-Up Induction of Oblivious Read-Once Decision Graphs. ECML (1994)
George H. John, Ron Kohavi, Karl Pfleger
Irrelevant Features and the Subset Selection Problem. ICML (1994)
Ron Kohavi, Scott Benson
Research Note on Decision Lists. Mach. Learn. 13 (1993)