Proceedings of Machine Learning Research

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Volume 7: KDD-Cup 2009 Competition, 28 June 2009, New York, New York, USA

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Editors: Gideon Dror, Mar Boullé, Isabelle Guyon, Vincent Lemaire, David Vogel

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Contents:

Supplemental
Preface
Accepted Papers

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Supplemental

Preface

Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database

Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel; PMLR 7:1-22

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Accepted Papers

Winning the KDD Cup Orange Challenge with Ensemble Selection

Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yan Feng Zhu; PMLR 7:23-34

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A Combination of Boosting and Bagging for KDD Cup 2009 - Fast Scoring on a Large Database

Jianjun Xie, Viktoria Rojkova, Siddharth Pal, Stephen Coggeshall; PMLR 7:35-43

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Predicting customer behaviour: The University of Melbourne’s KDD Cup report

Hugh Miller, Sandy Clarke, Stephen Lane, Andrew Lonie, David Lazaridis, Slave Petrovski, Owen Jones; PMLR 7:45-55

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An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes

Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun- Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-de Lin; PMLR 7:57-64

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KDD Cup 2009 @ Budapest: feature partitioning and boosting

Miklós Kurucz, Dávid Siklósi, István Bíró, Péter Csizsek, Zsolt Fekete, Róbert Iwatt, Tamás Kiss, Adrienn Szabó; PMLR 7:65-75

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Logistic Model Trees with AUC Split Criterion for the KDD Cup 2009 Small Challenge

Patrick Doetsch, Christian Buck, Pavlo Golik, Niklas Hoppe, Michael Kramp, Johannes Laudenberg, Christian Oberdörfer, Pascal Steingrube, Jens Forster, Arne Mauser; PMLR 7:77-88

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Classification of Imbalanced Marketing Data with Balanced Random Sets

Vladimir Nikulin, Geoffrey J. McLachlan; PMLR 7:89-100

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Application of Additive Groves Ensemble with Multiple Counts Feature Evaluation to KDD Cup'09 Small Data Set