Ron Kohavi

2009
46	EE	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)
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	EE	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)

Coauthor Index

1	Suhail Ansari	[30] [36]
2	Eric Bauer	[25]
3	Scott Benson	[1]
4	Jeffrey P. Bradford	[24]
5	Carla E. Brodley	[24] [26]
6	Clifford Brunk	[19] [24]
7	James Dougherty	[10] [14] [17]
8	William DuMouchel	[42]
9	Tom Fawcett	[23]
10	Brian Frasca	[26]
11	Jerome H. Friedman	[16]
12	Johannes Gehrke	[42]
13	Randal M. Henne	[45] [46]
14	George H. John	[2] [3] [9] [18]
15	James Kelly	[19]
16	Won Kim	[42]
17	Clayton Kunz	[20] [24]
18	Chia-Hsin Li	[8]
19	Richard Long	[2]
20	Roger Longbotham	[44] [46]
21	David Manley	[2]
22	Brij M. Masand	[27] [37] [39]
23	Llew Mason	[26] [30] [35] [36] [40]
24	Rajesh Parekh	[40] [41]
25	Karl Pfleger	[2] [3]
26	Foster J. Provost	[21] [23] [29] [32]
27	Neal Rothleder	[38]
28	Mehran Sahami	[10] [13] [28]
29	Evangelos Simoudis	[38]
30	Dan Sommerfield	[6] [14] [17] [22] [45] [46]
31	Myra Spiliopoulou	[27] [31] [37] [39]
32	Jaideep Srivastava	[27] [31] [37] [39]
33	David Wolpert (David H. Wolpert)	[15]
34	Yeogirl Yun	[16]
35	Zijian Zheng	[26] [30] [35] [36] [40]

Colors in the list of coauthors