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Travelled to:
1 × Australia
1 × Canada
1 × China
1 × France
1 × Ireland
1 × Italy
11 × USA
Collaborated with:
∅ D.Sommerfield M.Sahami G.H.John R.Longbotham A.Deng Y.Xu B.Frasca C.Kunz D.Wolpert T.Walker R.M.Henne Z.Zheng L.Mason F.J.Provost T.Fawcett C.Brunk J.Kelly J.Dougherty K.Pfleger T.Crook N.Pohlmann
Talks about:
control (6) experi (6) featur (4) onlin (4) select (3) decis (3) mine (3) web (3) algorithm (2) classifi (2)

Person: Ron Kohavi

DBLP DBLP: Kohavi:Ron

Facilitated 1 volumes:

KDD 2004Ed

Contributed to:

KDD 20152015
KDD 20142014
KDD 20132013
KDD 20122012
RecSys 20122012
KDD 20092009
KDD 20072007
KDD 20012001
ICML 19981998
KDD 19981998
ICML 19971997
KDD 19971997
ICML 19961996
KDD 19961996
ICML 19951995
KDD 19951995
ICML 19941994

Wrote 20 papers:

KDD-2015-Kohavi #lessons learnt #online #testing
Online Controlled Experiments: Lessons from Running A/B/n Tests for 12 Years (RK), p. 1.
KDD-2014-KohaviDLX #web
Seven rules of thumb for web site experimenters (RK, AD, RL, YX), pp. 1857–1866.
KDD-2013-KohaviDFWXP #online #scalability
Online controlled experiments at large scale (RK, AD, BF, TW, YX, NP), pp. 1168–1176.
KDD-2012-KohaviDFLWX #online
Trustworthy online controlled experiments: five puzzling outcomes explained (RK, AD, BF, RL, TW, YX), pp. 786–794.
RecSys-2012-Kohavi #online #statistics
Online controlled experiments: introduction, learnings, and humbling statistics (RK), pp. 1–2.
KDD-2009-CrookFKL #web
Seven pitfalls to avoid when running controlled experiments on the web (TC, BF, RK, RL), pp. 1105–1114.
KDD-2007-KohaviHS #web
Practical guide to controlled experiments on the web: listen to your customers not to the hippo (RK, RMH, DS), pp. 959–967.
KDD-2001-Kohavi #e-commerce #mining
Mining e-commerce data: the good, the bad, and the ugly (RK), pp. 8–13.
KDD-2001-ZhengKM #algorithm #performance
Real world performance of association rule algorithms (ZZ, RK, LM), pp. 401–406.
ICML-1998-ProvostFK #algorithm #estimation #induction
The Case against Accuracy Estimation for Comparing Induction Algorithms (FJP, TF, RK), pp. 445–453.
KDD-1998-KohaviS #classification
Targeting Business Users with Decision Table Classifiers (RK, DS), pp. 249–253.
ICML-1997-KohaviK
Option Decision Trees with Majority Votes (RK, CK), pp. 161–169.
KDD-1997-BrunkKK #data mining #mining #named
MineSet: An Integrated System for Data Mining (CB, JK, RK), pp. 135–138.
ICML-1996-KahaviW #bias #composition
Bias Plus Variance Decomposition for Zero-One Loss Functions (RK, DW), pp. 275–283.
KDD-1996-Kohavi #classification #hybrid #scalability
Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid (RK), pp. 202–207.
KDD-1996-KohaviS
Error-Based and Entropy-Based Discretization of Continuous Features (RK, MS), pp. 114–119.
ICML-1995-DoughertyKS
Supervised and Unsupervised Discretization of Continuous Features (JD, RK, MS), pp. 194–202.
ICML-1995-KohaviJ #fault #parametricity
Autmatic Parameter Selection by Minimizing Estimated Error (RK, GHJ), pp. 304–312.
KDD-1995-KohaviS #set #using
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology (RK, DS), pp. 192–197.
ICML-1994-JohnKP #problem #set
Irrelevant Features and the Subset Selection Problem (GHJ, RK, KP), pp. 121–129.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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