Volume 7, December 2009

• 
  Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel: Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. 1-22
• 
  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: Winning the KDD Cup Orange Challenge with Ensemble Selection. 23-34
• 
  Jianjun Xie, Viktoria Rojkova, Siddharth Pal, Stephen Coggeshall: A Combination of Boosting and Bagging for KDD Cup 2009 - Fast Scoring on a Large Database. 35-43
• 
  Hugh Miller, Sandy Clarke, Stephen Lane, Andrew Lonie, David Lazaridis, Slave Petrovski, Owen Jones: Predicting customer behaviour: The University of Melbourne's KDD Cup report. 45-55
• 
  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: An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. 57-64
• 
  Miklós Kurucz, Dávid Siklósi, István Bíró, Péter Csizsek, Zsolt Fekete, Róbert Iwatt, Tamás Kiss, Adrienn Szabó: KDD Cup 2009 @ Budapest: feature partitioning and boosting. 65-75
• 
  Patrick Doetsch, Christian Buck, Pavlo Golik, Niklas Hoppe, Michael Kramp, Johannes Laudenberg, Christian Oberdörfer, Pascal Steingrube, Jens Forster, Arne Mauser: Logistic Model Trees with AUC Split Criterion for the KDD Cup 2009 Small Challenge. 77-88
• 
  Vladimir Nikulin, Geoffrey J. McLachlan: Classification of Imbalanced Marketing Data with Balanced Random Sets. 89-100
• 
  Daria Sorokina: Application of Additive Groves Ensemble with Multiple Counts Feature Evaluation to KDD Cup'09 Small Data Set. 101-109
• 
  Róbert Busa-Fekete, Balázs Kégl: Accelerating AdaBoost using UCB. 111-122

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