Ron Kohavi
机构: Technical Fellow and Vice President, Analysis and Experimentation, Microsoft
主页: kohavi.com
每年引用次数
引用次数
引用: 62,821
H-指数: 63
I10-指数 : 94
出版物: 153
The Case against Accuracy Estimation for Comparing Induction Algorithms
Foster Provost , R Fawcett , T , Kohavi
international conference on machine learning 445 -453
1,598
1998
WEBKDD 2000 - Web Mining for E-Commerce.
Ron Kohavi , Brij M. Masand , Jaideep Srivastava , Myra Spiliopoulou
Sigkdd Explorations 2 106 -107
3
2000
Oblivious decision trees graphs and top down pruning
Ron Kohavi , Chia-Hsin Li
international joint conference on artificial intelligence 1071 -1077
118
1995
Visualizing RFM Segmentation
Ron Kohavi , Rajesh Parekh
siam international conference on data mining 391 -399
12
2004
Error-based and entropy-based discretization of continuous features
Ron Kohavi , Mehran Sahami
knowledge discovery and data mining 114 -119
430
1996
Data Mining using MLC++, A Machine Learning Library in C++
Ron Kohavi , Dan Sommerfield , James Dougherty
international conference on tools with artificial intelligence 234 -245
213
1996
Bias plus variance decomposition for zero-one loss functions
Ron Kohavi , David Wolpert
international conference on machine learning 275 -283
958
1996
WEBKDD 2001 -- mining web log data across all customers touch points : Third International Workshop, San Francisco, CA, USA, August 26, 2001 : revised papers
Ron Kohavi ,
Springer
7
2002
Scaling up the accuracy of Naive-Bayes classifiers: a decision-tree hybrid
Ron Kohavi
knowledge discovery and data mining 202 -207
2,122
1996
Improving simple Bayes
Ron Kohavi , Dan Sommerfield , Barry G. Becker
ECML
129
1997
A study of cross-validation and bootstrap for accuracy estimation and model selection
Ron Kohavi
international joint conference on artificial intelligence 2 1137 -1143
15,751
1995
Detection of behavior-based associations between search strings and items
Ron Kohavi , Eric R. Vadon , Ronald M. Whitman , Benjamin W. S. Redman
55
2012
Visualizing the simple Baysian classifier
Ron Kohavi , Dan Sommerfield , Barry Becker
Information visualization in data mining and knowledge discovery 237 -249
5
2001
Data Mining Using MLC a Machine Learning Library in C
Ron Kohavi , Dan Sommerfield , James Dougherty
International Journal on Artificial Intelligence Tools 6 537 -566
112
1997
Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Brij M. Masand , Jaideep Srivastava , Myra Spiliopoulou , Ron Kohavi
Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
1
2001
Online controlled experiments at large scale
Ron Kohavi , Alex Deng , Brian Frasca , Toby Walker
knowledge discovery and data mining 1168 -1176
392
2013
Unexpected results in online controlled experiments
Ron Kohavi , Roger Longbotham
ACM SIGKDD Explorations Newsletter 12 ( 2) 31 -35
57
2011
Book Review: Empirical Methods for Artificial Intelligence
Ron Kohavi
International Journal of Neural Systems 07 ( 02) 219 -221
1996
Wrappers for feature subset selection
Ron Kohavi , George H. John
Artificial Intelligence 97 ( 1) 273 -324
11,115
1997
Lessons and Challenges from Mining Retail E-Commerce Data
Ron Kohavi , Llew Mason , Rajesh Parekh , Zijian Zheng
Machine Learning 57 ( 1) 83 -113
188
2004