| 2007 |
| 45 | EE | 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 |
| 44 | EE | Ron Kohavi,
Roger Longbotham:
Online Experiments: Lessons Learned.
IEEE Computer 40(9): 103-105 (2007) |
| 2005 |
| 43 | EE | Ron Kohavi:
Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce.
PKDD 2005: 7 |
| 2004 |
| 42 | | 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 |
| 41 | EE | Ron Kohavi,
Rajesh Parekh:
Visualizing RFM Segmentation.
SDM 2004 |
| 40 | EE | Ron Kohavi,
Llew Mason,
Rajesh Parekh,
Zijian Zheng:
Lessons and Challenges from Mining Retail E-Commerce Data.
Machine Learning 57(1-2): 83-113 (2004) |
| 2002 |
| 39 | | 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
Springer 2002 |
| 38 | EE | Ron Kohavi,
Neal Rothleder,
Evangelos Simoudis:
Emerging trends in business analytics.
Commun. ACM 45(8): 45-48 (2002) |
| 37 | | Ron Kohavi,
Brij M. Masand,
Myra Spiliopoulou,
Jaideep Srivastava:
Web Mining.
Data Min. Knowl. Discov. 6(1): 5-8 (2002) |
| 2001 |
| 36 | | Suhail Ansari,
Ron Kohavi,
Llew Mason,
Zijian Zheng:
Integrating E-Commerce and Data Mining: Architecture and Challenges.
ICDM 2001: 27-34 |
| 35 | EE | Zijian Zheng,
Ron Kohavi,
Llew Mason:
Real world performance of association rule algorithms.
KDD 2001: 401-406 |
| 34 | EE | Ron Kohavi:
Mining e-commerce data: the good, the bad, and the ugly.
KDD 2001: 8-13 |
| 33 | EE | Ron Kohavi:
Mining E-Commerce Data: The Good, the Bad, and the Ugly.
PAKDD 2001: 2 |
| 32 | | Ron Kohavi,
Foster J. Provost:
Applications of Data Mining to Electronic Commerce.
Data Min. Knowl. Discov. 5(1/2): 5-10 (2001) |
| 2000 |
| 31 | EE | Ron Kohavi,
Myra Spiliopoulou,
Jaideep Srivastava:
Web mining for e-commerce (workshop session - title only).
KDD 2000: 534 |
| 30 | EE | Suhail Ansari,
Ron Kohavi,
Llew Mason,
Zijian Zheng:
Integrating E-Commerce and Data Mining: Architecture and Challenges
CoRR cs.LG/0007026: (2000) |
| 29 | EE | Ron Kohavi,
Foster J. Provost:
Applications of Data Mining to Electronic Commerce
CoRR cs.LG/0010006: (2000) |
| 28 | EE | Ron Kohavi,
Mehran Sahami:
Integrating Data Mining into Vertical Solutions.
SIGKDD Explorations 1(2): 55-58 (2000) |
| 27 | EE | Myra Spiliopoulou,
Jaideep Srivastava,
Ron Kohavi,
Brij M. Masand:
WEBKDD 2000 - Web Mining for E-Commerce.
SIGKDD Explorations 2(2): 106-107 (2000) |
| 26 | EE | Ron Kohavi,
Carla E. Brodley,
Brian Frasca,
Llew Mason,
Zijian Zheng:
KDD-Cup 2000 Organizers' Report: Peeling the Onion.
SIGKDD Explorations 2(2): 86-98 (2000) |
| 1999 |
| 25 | | Eric Bauer,
Ron Kohavi:
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants.
Machine Learning 36(1-2): 105-139 (1999) |
| 1998 |
| 24 | | Jeffrey P. Bradford,
Clayton Kunz,
Ron Kohavi,
Clifford Brunk,
Carla E. Brodley:
Pruning Decision Trees with Misclassification Costs.
ECML 1998: 131-136 |
| 23 | | Foster J. Provost,
Tom Fawcett,
Ron Kohavi:
The Case against Accuracy Estimation for Comparing Induction Algorithms.
ICML 1998: 445-453 |
| 22 | | Ron Kohavi,
Dan Sommerfield:
Targeting Business Users with Decision Table Classifiers.
KDD 1998: 249-253 |
| 21 | | Foster J. Provost,
Ron Kohavi:
Guest Editors' Introduction: On Applied Research in Machine Learning.
Machine Learning 30(2-3): 127-132 (1998) |
| 1997 |
| 20 | | Ron Kohavi,
Clayton Kunz:
Option Decision Trees with Majority Votes.
ICML 1997: 161-169 |
| 19 | | Clifford Brunk,
James Kelly,
Ron Kohavi:
MineSet: An Integrated System for Data Mining.
KDD 1997: 135-138 |
| 18 | EE | Ron Kohavi,
George H. John:
Wrappers for Feature Subset Selection.
Artif. Intell. 97(1-2): 273-324 (1997) |
| 17 | EE | Ron Kohavi,
Dan Sommerfield,
James Dougherty:
Data Mining Using MLC a Machine Learning Library in C++.
International Journal on Artificial Intelligence Tools 6(4): 537-566 (1997) |
| 1996 |
| 16 | | Jerome H. Friedman,
Ron Kohavi,
Yeogirl Yun:
Lazy Decision Trees.
AAAI/IAAI, Vol. 1 1996: 717-724 |
| 15 | | Ron Kohavi,
David Wolpert:
Bias Plus Variance Decomposition for Zero-One Loss Functions.
ICML 1996: 275-283 |
| 14 | | Ron Kohavi,
Dan Sommerfield,
James Dougherty:
Data Mining Using MLC++: A Machine Learning Library in C++.
ICTAI 1996: 234-245 |
| 13 | | Ron Kohavi,
Mehran Sahami:
Error-Based and Entropy-Based Discretization of Continuous Features.
KDD 1996: 114-119 |
| 12 | | Ron Kohavi:
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid.
KDD 1996: 202-207 |
| 1995 |
| 11 | | Ron Kohavi:
The Power of Decision Tables.
ECML 1995: 174-189 |
| 10 | | James Dougherty,
Ron Kohavi,
Mehran Sahami:
Supervised and Unsupervised Discretization of Continuous Features.
ICML 1995: 194-202 |
| 9 | | Ron Kohavi,
George H. John:
Autmatic Parameter Selection by Minimizing Estimated Error.
ICML 1995: 304-312 |
| 8 | | Ron Kohavi,
Chia-Hsin Li:
Oblivious Decision Trees, Graphs, and Top-Down Pruning.
IJCAI 1995: 1071-1079 |
| 7 | | Ron Kohavi:
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection.
IJCAI 1995: 1137-1145 |
| 6 | | Ron Kohavi,
Dan Sommerfield:
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology.
KDD 1995: 192-197 |
| 1994 |
| 5 | | Ron Kohavi:
Bottom-Up Induction of Oblivious Read-Once Decision Graphs: Strengths and Limitations.
AAAI 1994: 613-618 |
| 4 | | Ron Kohavi:
Bottom-Up Induction of Oblivious Read-Once Decision Graphs.
ECML 1994: 154-169 |
| 3 | | George H. John,
Ron Kohavi,
Karl Pfleger:
Irrelevant Features and the Subset Selection Problem.
ICML 1994: 121-129 |
| 2 | | Ron Kohavi,
George H. John,
Richard Long,
David Manley,
Karl Pfleger:
MLC++: A Machine Learning Library in C++.
ICTAI 1994: 740-743 |
| 1993 |
| 1 | | Ron Kohavi,
Scott Benson:
Research Note on Decision Lists.
Machine Learning 13: 131-134 (1993) |