SIAM Conference on Data Mining (SDM13)
Awards

May 2 - May 4, 2013
Austin, Texas, USA

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Paper Award Committee:
    Christos Faloutsos
    Eamonn Keogh
    Nitesh Chawla
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Best Research Paper Award:
Triadic Measures on Graphs: The Power of Wedge Sampling
    Comandur Seshadhri, Ali Pinar, Tamara G. Kolda
    (Session CP1: Mining with Big Data, 10:25 am Thursday)

Best Research Paper Runner Up:
Multi-objective Multi-view Spectral Clustering via Pareto Optimization
    Xiang Wang, Buyue Qian, Jieping Ye, Ian Davidson
    (Session CP6: Multi-View and Multi-Source Data Mining, 3pm Thursday)

Best Application Paper Award:
Climate Multi-model Regression Using Spatial Smoothing
    Karthik Subbian and Arindam Banerjee
    (Session CP8: Applications, 10 am Friday)

Best Application Paper Runner Up:
Distribution Regularized Regression Framework for Climate Modeling
    Zubin Abraham, Pang-Ning Tan, Perdinan Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska
    (Session CP8: Applications, 10:25 am Friday)

Nominated Papers:
Distribution Regularized Regression Framework for Climate Modeling
    Zubin Abraham, Pang-Ning Tan, Perdinan Perdinan, Julie Winkler, Shiyuan Zhong, Malgorzata Liszewska
Fast Exact Max-kernel Search
    Ryan Curtin, Parikshit Ram, Alexander G. Gray
Exploring and Inferring User-User Pseudo-Friendship for Sentiment Analysis with Heterogeneous Networks
    Hongbo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, and Yue Lu
On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning
    Liang Ge, Jing Gao, Hung Ngo, Kang Li, Aidong Zhang
Efficient Selection of Globally Optimal Rules on Large Imbalanced Data Based on Rule Coverage Relationship Analysis
    Jinjiu Li, Can Wang, Longbing Cao, Philip S. Yu
Collaborative Filtering via Learning Pairwise Preferences over Itemsets
    Weike Pan, Li Chen
Triadic Measures on Graphs: The Power of Wedge Sampling
    Comandur Seshadhri, Ali Pinar, Tamara G. Kolda
Climate Multi-model Regression Using Spatial Smoothing
    Karthik Subbian, Arindam Banerjee
Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources
    Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang
Multi-objective Multi-view Spectral Clustering via Pareto Optimization
    Xiang Wang, Buyue Qian, Jieping Ye, Ian Davidson