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  • SIGKDD历年Best Papers

    kdd

    作者:我爱机器学习
    原文链接:SIGKDD历年Best Papers

    SIGKDD(Data Mining)(1997-2016)
    年份 标题 一作 一作单位
    2016 FRAUDAR: Bounding Graph Fraud in the Face of Camouflage Bryan Hooi Carnegie Mellon University
    2015 Efficient Algorithms for Public-Private Social Networks Flavio Chierichetti Sapienza University of Rome
    2014 Reducing the Sampling Complexity of Topic Models Aaron Li Carnegie Mellon University
    2013 Simple and Deterministic Matrix Sketching Edo Liberty Yahoo! Research
    2012 Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping Thanawin Rakthanmanon University of California Riverside
    2011 Leakage in Data Mining: Formulation, Detection, and Avoidance Shachar Kaufman Tel-Aviv University
    2010 Large linear classification when data cannot fit in memory Hsiang-Fu Yu National Taiwan University
    Connecting the dots between news articles Dafna Shahaf Carnegie Mellon University
    2009 Collaborative Filtering with Temporal Dynamics Yehuda Koren Yahoo! Research
    2008 Fastanova: an efficient algorithm for genome-wide association study Xiang Zhang University of North Carolina at Chapel Hill
    2007 Predictive discrete latent factor models for large scale dyadic data Deepak Agarwal Yahoo! Research
    2006 Training linear SVMs in linear time Thorsten Joachims Cornell University
    2005 Graphs over time: densification laws, shrinking diameters and possible explanations Jure Leskovec Carnegie Mellon University
    2004 A probabilistic framework for semi-supervised clustering Sugato Basu University of Texas at Austin
    2003 Maximizing the spread of influence through a social network David Kempe Cornell University
    2002 Pattern discovery in sequences under a Markov assumption Darya Chudova University of California Irvine
    2001 Robust space transformations for distance-based operations Edwin M. Knorr University of British Columbia
    2000 Hancock: a language for extracting signatures from data streams Corinna Cortes AT&T Laboratories
    1999 MetaCost: a general method for making classifiers cost-sensitive Pedro Domingos Universidade Técnica de Lisboa
    1998 Occam’s Two Razors: The Sharp and the Blunt Pedro Domingos Universidade Técnica de Lisboa
    1997 Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Di… Foster Provost NYNEX Science and Technology

    参考文献:Best Paper Awards in Computer Science (since 1996)

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  • 原文地址:https://www.cnblogs.com/52machinelearning/p/5821573.html
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