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    SDM
    2012
    SIAM
    234views Data Mining» more  SDM 2012»
    On Evaluation of Outlier Rankings and Outlier Scores
    12 years 15 hour ago
    On Evaluation of Outlier Rankings and Outlier Scores
    Download  www.dbs.ifi.lmu.de
    Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
    Erich Schubert, Remigius Wojdanowski, Arthur Zimek...
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    SDM
    2012
    SIAM
    282views Data Mining» more  SDM 2012»
    Citation Prediction in Heterogeneous Bibliographic Networks
    12 years 15 hour ago
    Citation Prediction in Heterogeneous Bibliographic Networks
    Download  www.cs.uiuc.edu
    To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
    Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
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    SDM
    2012
    SIAM
    237views Data Mining» more  SDM 2012»
    A Distributed Kernel Summation Framework for General-Dimension Machine Learning
    12 years 14 hour ago
    A Distributed Kernel Summation Framework for General-Dimension Machine Learning
    Download  www.cc.gatech.edu
    Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
    Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
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    SDM
    2012
    SIAM
    289views Data Mining» more  SDM 2012»
    Mining Compressing Sequential Patterns
    12 years 14 hour ago
    Mining Compressing Sequential Patterns
    Download  www.win.tue.nl
    Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
    Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin,...
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    SDM
    2012
    SIAM
    452views Data Mining» more  SDM 2012»
    Density-based Projected Clustering over High Dimensional Data Streams
    12 years 14 hour ago
    Density-based Projected Clustering over High Dimensional Data Streams
    Download  siam.omnibooksonline.com
    Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
    Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
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