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ORCIDRon Kohavi
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- affiliation: Stanford University, USA
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2020 – today
- 2024
[c41]Ron Kohavi, Nanyu Chen:
False Positives in A/B Tests. KDD 2024: 5240-5250- 2022
- [c40]Ron Kohavi, Alex Deng, Lukas Vermeer:
A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled Experiments. KDD 2022: 3168-3177
2010 – 2019
- 2019
- [j18]Somit Gupta, Ronny Kohavi, Diane Tang, Ya Xu:
Top Challenges from the first Practical Online Controlled Experiments Summit. SIGKDD Explor. 21(1): 20-35 (2019) - [c39]Somit Gupta, Ronny Kohavi, Alex Deng, Jeff Omhover, Pawel Janowski:
A/B Testing at Scale: Accelerating Software Innovation. WWW (Companion Volume) 2019: 1299-1300 - 2017
- [c38]Alex Deng, Pavel A. Dmitriev, Somit Gupta, Ron Kohavi, Paul Raff, Lukas Vermeer:
A/B Testing at Scale: Accelerating Software Innovation. SIGIR 2017: 1395-1397 - [r1]Ron Kohavi, Roger Longbotham:
Online Controlled Experiments and A/B Testing. Encyclopedia of Machine Learning and Data Mining 2017: 922-929 - 2016
- [c37]Pavel A. Dmitriev, Brian Frasca, Somit Gupta, Ron Kohavi, Garnet Jason Vaz:
Pitfalls of long-term online controlled experiments. IEEE BigData 2016: 1367-1376 - 2015
- [c36]Ron Kohavi:
Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years. KDD 2015: 1 - 2014
- [c35]Ron Kohavi, Alex Deng, Roger Longbotham, Ya Xu:
Seven rules of thumb for web site experimenters. KDD 2014: 1857-1866 - 2013
- [c34]Ronny Kohavi:
Online controlled experiments: introduction, insights, scaling, and humbling statistics. UEO@CIKM 2013: 15-16 - [c33]Ron Kohavi, Alex Deng, Brian Frasca, Toby Walker, Ya Xu, Nils Pohlmann:
Online controlled experiments at large scale. KDD 2013: 1168-1176 - [c32]Alex Deng, Ya Xu, Ron Kohavi, Toby Walker:
Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. WSDM 2013: 123-132 - 2012
- [c31]Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbotham, Toby Walker, Ya Xu:
Trustworthy online controlled experiments: five puzzling outcomes explained. KDD 2012: 786-794 - [c30]Ron Kohavi:
Online controlled experiments: introduction, learnings, and humbling statistics. RecSys 2012: 1-2 - 2010
- [j17]Ron Kohavi, Roger Longbotham, Toby Walker:
Online Experiments: Practical Lessons. Computer 43(9): 82-85 (2010) - [j16]Ron Kohavi, Roger Longbotham:
Unexpected results in online controlled experiments. SIGKDD Explor. 12(2): 31-35 (2010)
2000 – 2009
- 2009
- [j15]Ron Kohavi, Roger Longbotham, Dan Sommerfield, Randal M. Henne:
Controlled experiments on the web: survey and practical guide. Data Min. Knowl. Discov. 18(1): 140-181 (2009) - [c29]Thomas Crook, Brian Frasca, Ron Kohavi, Roger Longbotham:
Seven pitfalls to avoid when running controlled experiments on the web. KDD 2009: 1105-1114 - 2007
- [j14]Ron Kohavi, Roger Longbotham:
Online Experiments: Lessons Learned. Computer 40(9): 103-105 (2007) - [c28]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: 959-967 - 2005
- [c27]Ron Kohavi:
Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce. PKDD 2005: 7 - 2004
- [j13]Ron Kohavi, Llew Mason, Rajesh Parekh, Zijian Zheng:
Lessons and Challenges from Mining Retail E-Commerce Data. Mach. Learn. 57(1-2): 83-113 (2004) - [c26]Ron Kohavi, Rajesh Parekh:
Visualizing RFM Segmentation. SDM 2004: 391-399 - [e2]Won Kim, Ron Kohavi, Johannes Gehrke, William DuMouchel:
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004. ACM 2004, ISBN 1-58113-888-1 [contents] - 2002
- [j12]Ron Kohavi, Neal Rothleder, Evangelos Simoudis:
Emerging trends in business analytics. Commun. ACM 45(8): 45-48 (2002) - [j11]Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava
:
Web Mining. Data Min. Knowl. Discov. 6(1): 5-8 (2002) - [e1]Ron Kohavi, Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava:
WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points, Third International Workshop, San Francisco, CA, USA, August 26, 2001, Revised Papers. Lecture Notes in Computer Science 2356, Springer 2002, ISBN 3-540-43969-2 [contents] - 2001
- [j10]Ron Kohavi, Foster J. Provost:
Applications of Data Mining to Electronic Commerce. Data Min. Knowl. Discov. 5(1/2): 5-10 (2001) - [c25]Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng:
Integrating E-Commerce and Data Mining: Architecture and Challenges. ICDM 2001: 27-34 - [c24]Ron Kohavi:
Mining e-commerce data: the good, the bad, and the ugly. KDD 2001: 8-13 - [c23]Zijian Zheng, Ron Kohavi, Llew Mason:
Real world performance of association rule algorithms. KDD 2001: 401-406 - [c22]Ron Kohavi:
Mining E-Commerce Data: The Good, the Bad, and the Ugly. PAKDD 2001: 2 - 2000
- [j9]Ron Kohavi, Mehran Sahami:
Integrating Data Mining into Vertical Solutions. SIGKDD Explor. 1(2): 55-58 (2000) - [j8]Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng:
KDD-Cup 2000 Organizers' Report: Peeling the Onion. SIGKDD Explor. 2(2): 86-98 (2000) - [j7]Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi, Brij M. Masand:
WEBKDD 2000 - Web Mining for E-Commerce. SIGKDD Explor. 2(2): 106-107 (2000) - [c21]Ron Kohavi, Myra Spiliopoulou, Jaideep Srivastava:
Web mining for e-commerce (workshop session - title only). KDD 2000: 534 - [i2]Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng:
Integrating E-Commerce and Data Mining: Architecture and Challenges. CoRR cs.LG/0007026 (2000) - [i1]Ron Kohavi, Foster J. Provost:
Applications of Data Mining to Electronic Commerce. CoRR cs.LG/0010006 (2000)
1990 – 1999
- 1999
- [j6]Eric Bauer, Ron Kohavi:
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Mach. Learn. 36(1-2): 105-139 (1999) - 1998
- [j5]Foster J. Provost, Ron Kohavi:
Guest Editors' Introduction: On Applied Research in Machine Learning. Mach. Learn. 30(2-3): 127-132 (1998) - [c20]Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley:
Pruning Decision Trees with Misclassification Costs. ECML 1998: 131-136 - [c19]Foster J. Provost, Tom Fawcett, Ron Kohavi:
The Case against Accuracy Estimation for Comparing Induction Algorithms. ICML 1998: 445-453 - [c18]Ron Kohavi, Dan Sommerfield:
Targeting Business Users with Decision Table Classifiers. KDD 1998: 249-253 - 1997
- [j4]Ron Kohavi, George H. John:
Wrappers for Feature Subset Selection. Artif. Intell. 97(1-2): 273-324 (1997) - [j3]Ron Kohavi, Dan Sommerfield, James Dougherty:
Data Mining Using MLC a Machine Learning Library in C++. Int. J. Artif. Intell. Tools 6(4): 537-566 (1997) - [c17]Ron Kohavi, Clayton Kunz:
Option Decision Trees with Majority Votes. ICML 1997: 161-169 - [c16]Clifford Brunk, James Kelly, Ron Kohavi:
MineSet: An Integrated System for Data Mining. KDD 1997: 135-138 - 1996
- [j2]Ron Kohavi:
Book Review: Empirical Methods for Artificial Intelligence. Int. J. Neural Syst. 7(2): 219-222 (1996) - [c15]Jerome H. Friedman, Ron Kohavi, Yeogirl Yun:
Lazy Decision Trees. AAAI/IAAI, Vol. 1 1996: 717-724 - [c14]Ron Kohavi, David H. Wolpert:
Bias Plus Variance Decomposition for Zero-One Loss Functions. ICML 1996: 275-283 - [c13]Ron Kohavi, Dan Sommerfield, James Dougherty:
Data Mining Using MLC++: A Machine Learning Library in C++. ICTAI 1996: 234-245 - [c12]Ron Kohavi, Mehran Sahami:
Error-Based and Entropy-Based Discretization of Continuous Features. KDD 1996: 114-119 - [c11]Ron Kohavi:
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. KDD 1996: 202-207 - [d2]Barry G. Becker, Ronny Kohavi:
Adult. UCI Machine Learning Repository, 1996
- [d1]Ron Kohavi:
Census Income. UCI Machine Learning Repository, 1996 - 1995
- [b1]Ron Kohavi:
Wrappers for performance enhancement and oblivious decision graphs. Stanford University, USA, 1995 - [c10]Ron Kohavi:
The Power of Decision Tables. ECML 1995: 174-189 - [c9]James Dougherty, Ron Kohavi, Mehran Sahami:
Supervised and Unsupervised Discretization of Continuous Features. ICML 1995: 194-202 - [c8]Ron Kohavi, George H. John:
Automatic Parameter Selection by Minimizing Estimated Error. ICML 1995: 304-312 - [c7]Ron Kohavi, Chia-Hsin Li:
Oblivious Decision Trees, Graphs, and Top-Down Pruning. IJCAI 1995: 1071-1079 - [c6]Ron Kohavi:
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection. IJCAI 1995: 1137-1145 - [c5]Ron Kohavi, Dan Sommerfield:
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology. KDD 1995: 192-197 - 1994
- [c4]Ron Kohavi:
Bottom-Up Induction of Oblivious Read-Once Decision Graphs: Strengths and Limitations. AAAI 1994: 613-618 - [c3]Ron Kohavi:
Bottom-Up Induction of Oblivious Read-Once Decision Graphs. ECML 1994: 154-169 - [c2]George H. John, Ron Kohavi, Karl Pfleger:
Irrelevant Features and the Subset Selection Problem. ICML 1994: 121-129 - [c1]Ron Kohavi, George H. John, Richard Long, David Manley, Karl Pfleger:
MLC++: A Machine Learning Library in C++. ICTAI 1994: 740-743 - 1993
- [j1]Ron Kohavi, Scott Benson:
Research Note on Decision Lists. Mach. Learn. 13: 131-134 (1993)
Coauthor Index
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last updated on 2024-08-28 22:26 CEST by the dblp team
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