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Ron Kohavi

Papers on DiSC'02


Integrating E-Commerce and Data Mining: Architecture and Challenges

Mining e-commerce data: the good, the bad, and the ugly

Real world performance of association rule algorithms

Publications


Note: Links lead to the DBLP on the Web.

Ron Kohavi

31 Ron Kohavi, Brij M. Masand , Myra Spiliopoulou , Jaideep Srivastava : Web Mining. Data Mining and Knowledge Discovery 6 (1): 5-8 (2002)

30 Suhail Ansari , Ron Kohavi, Llew Mason , Zijian Zheng : Integrating E-Commerce and Data Mining: Architecture and Challenges. ICDM 2001 : 27-34

29 Zijian Zheng , Ron Kohavi, Llew Mason : Real world performance of association rule algorithms. KDD 2001 : 401-406

28 Ron Kohavi: Mining e-commerce data: the good, the bad, and the ugly. KDD 2001 : 8-13

27 Ron Kohavi: Mining E-Commerce Data: The Good, the Bad, and the Ugly. PAKDD 2001 : 2

26 Ron Kohavi, Foster J. Provost : Applications of Data Mining to Electronic Commerce. Data Mining and Knowledge Discovery 5 (1/2): 5-10 (2001)

25 Ron Kohavi, Myra Spiliopoulou , Jaideep Srivastava : Web mining for e-commerce (workshop session - title only). KDD 2000 : 534

24 Ron Kohavi, Mehran Sahami : Integrating Data Mining into Vertical Solutions. SIGKDD Explorations 1 (2): 55-58 (2000)

23 Myra Spiliopoulou , Jaideep Srivastava , Ron Kohavi, Brij M. Masand : WEBKDD 2000 - Web Mining for E-Commerce. SIGKDD Explorations 2 (2): 106-107 (2000)

22 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)

21 Eric Bauer , Ron Kohavi: An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Machine Learning 36 (1-2): 105-139 (1999)

20 Jeffrey P. Bradford , Clayton Kunz , Ron Kohavi, Clifford Brunk , Carla E. Brodley : Pruning Decision Trees with Misclassification Costs. ECML 1998 : 131-136

19 Ron Kohavi, Dan Sommerfield : Targeting Business Users with Decision Table Classifiers. KDD 1998 : 249-253

18 Foster J. Provost , Ron Kohavi: Guest Editors' Introduction: On Applied Research in Machine Learning. Machine Learning 30 (2-3): 127-132 (1998)

17 Clifford Brunk , James Kelly , Ron Kohavi: MineSet: An Integrated System for Data Mining. KDD 1997 : 135-138

16 Ron Kohavi, George H. John : Wrappers for Feature Subset Selection. Artificial Intelligence 97 (1-2): 273-324 (1997)

15 Jerome H. Friedman , Ron Kohavi, Yeogirl Yun : Lazy Decision Trees. AAAI/IAAI, Vol. 1 1996 : 717-724

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

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

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

1 Ron Kohavi, Scott Benson : Research Note on Decision Lists. Machine Learning 13 : 131-134 (1993)




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