Ron Kohavi

	2009
47		Thomas Crook, Brian Frasca, Ron Kohavi, Roger Longbotham: Seven pitfalls to avoid when running controlled experiments on the web. KDD 2009: 1105-1114
46		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		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		Ron Kohavi, Roger Longbotham: Online Experiments: Lessons Learned. IEEE Computer 40(9): 103-105 (2007)
	2005
43		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		Ron Kohavi, Rajesh Parekh: Visualizing RFM Segmentation. SDM 2004
40		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		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		Zijian Zheng, Ron Kohavi, Llew Mason: Real world performance of association rule algorithms. KDD 2001: 401-406
34		Ron Kohavi: Mining e-commerce data: the good, the bad, and the ugly. KDD 2001: 8-13
33		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		Ron Kohavi, Myra Spiliopoulou, Jaideep Srivastava: Web mining for e-commerce (workshop session - title only). KDD 2000: 534
30		Suhail Ansari, Ron Kohavi, Llew Mason, Zijian Zheng: Integrating E-Commerce and Data Mining: Architecture and Challenges CoRR cs.LG/0007026: (2000)
29		Ron Kohavi, Foster J. Provost: Applications of Data Mining to Electronic Commerce CoRR cs.LG/0010006: (2000)
28		Ron Kohavi, Mehran Sahami: Integrating Data Mining into Vertical Solutions. SIGKDD Explorations 1(2): 55-58 (2000)
27		Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi, Brij M. Masand: WEBKDD 2000 - Web Mining for E-Commerce. SIGKDD Explorations 2(2): 106-107 (2000)
26		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		Ron Kohavi, George H. John: Wrappers for Feature Subset Selection. Artif. Intell. 97(1-2): 273-324 (1997)
17		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	Thomas Crook	[47]
8	James Dougherty	[10] [14] [17]
9	William DuMouchel	[42]
10	Tom Fawcett	[23]
11	Brian Frasca	[26] [47]
12	Jerome H. Friedman	[16]
13	Johannes Gehrke	[42]
14	Randal M. Henne	[45] [46]
15	George H. John	[2] [3] [9] [18]
16	James Kelly	[19]
17	Won Kim	[42]
18	Clayton Kunz	[20] [24]
19	Chia-Hsin Li	[8]
20	Richard Long	[2]
21	Roger Longbotham	[44] [46] [47]
22	David Manley	[2]
23	Brij M. Masand	[27] [37] [39]
24	Llew Mason	[26] [30] [35] [36] [40]
25	Rajesh Parekh	[40] [41]
26	Karl Pfleger	[2] [3]
27	Foster J. Provost	[21] [23] [29] [32]
28	Neal Rothleder	[38]
29	Mehran Sahami	[10] [13] [28]
30	Evangelos Simoudis	[38]
31	Dan Sommerfield	[6] [14] [17] [22] [45] [46]
32	Myra Spiliopoulou	[27] [31] [37] [39]
33	Jaideep Srivastava	[27] [31] [37] [39]
34	David Wolpert (David H. Wolpert)	[15]
35	Yeogirl Yun	[16]
36	Zijian Zheng	[26] [30] [35] [36] [40]

Colors in the list of coauthors