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    KDD
    2009
    ACM
    159views Data Mining» more  KDD 2009»
    Adapting the right measures for K-means clustering
    15 years 20 days ago
    Adapting the right measures for K-means clustering
    Download  datamining.rutgers.edu
    Clustering validation is a long standing challenge in the clustering literature. While many validation measures have been developed for evaluating the performance of clustering al...
    Junjie Wu, Hui Xiong, Jian Chen
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    KDD
    2009
    ACM
    162views Data Mining» more  KDD 2009»
    Augmenting the generalized hough transform to enable the mining of petroglyphs
    15 years 20 days ago
    Augmenting the generalized hough transform to enable the mining of petroglyphs
    Download  www.cs.ucr.edu
    Rock art is an archaeological term for human-made markings on stone. It is believed that there are millions of petroglyphs in North America alone, and the study of this valued cul...
    Eamonn J. Keogh, Qiang Zhu 0002, Sang-Hee Lee, Xia...
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    KDD
    2009
    ACM
    207views Data Mining» more  KDD 2009»
    DynaMMo: mining and summarization of coevolving sequences with missing values
    15 years 20 days ago
    DynaMMo: mining and summarization of coevolving sequences with missing values
    Download  www.cs.cmu.edu
    Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
    Lei Li, James McCann, Nancy S. Pollard, Christos F...
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    KDD
    2009
    ACM
    153views Data Mining» more  KDD 2009»
    Predicting bounce rates in sponsored search advertisements
    15 years 20 days ago
    Predicting bounce rates in sponsored search advertisements
    Download  www.bayardo.org
    This paper explores an important and relatively unstudied quality measure of a sponsored search advertisement: bounce rate. The bounce rate of an ad can be informally defined as t...
    D. Sculley, Robert G. Malkin, Sugato Basu, Roberto...
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    KDD
    2009
    ACM
    181views Data Mining» more  KDD 2009»
    Beyond blacklists: learning to detect malicious web sites from suspicious URLs
    15 years 20 days ago
    Beyond blacklists: learning to detect malicious web sites from suspicious URLs
    Download  cseweb.ucsd.edu
    Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffr...
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    KDD
    2009
    ACM
    151views Data Mining» more  KDD 2009»
    A LRT framework for fast spatial anomaly detection
    15 years 20 days ago
    A LRT framework for fast spatial anomaly detection
    Download  www.cise.ufl.edu
    Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
    Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
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    KDD
    2009
    ACM
    188views Data Mining» more  KDD 2009»
    Mining discrete patterns via binary matrix factorization
    15 years 20 days ago
    Mining discrete patterns via binary matrix factorization
    Download  www.public.asu.edu
    Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
    Bao-Hong Shen, Shuiwang Ji, Jieping Ye
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    KDD
    2009
    ACM
    221views Data Mining» more  KDD 2009»
    Migration motif: a spatial - temporal pattern mining approach for financial markets
    15 years 20 days ago
    Migration motif: a spatial - temporal pattern mining approach for financial markets
    Download  www-ai.cs.uni-dortmund.de
    A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
    Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
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    KDD
    2009
    ACM
    180views Data Mining» more  KDD 2009»
    Consensus group stable feature selection
    15 years 20 days ago
    Consensus group stable feature selection
    Download  www.cs.binghamton.edu
    Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
    Steven Loscalzo, Lei Yu, Chris H. Q. Ding
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    KDD
    2009
    ACM
    192views Data Mining» more  KDD 2009»
    Co-evolution of social and affiliation networks
    15 years 20 days ago
    Co-evolution of social and affiliation networks
    Download  waimea.cs.umd.edu
    In our work, we address the problem of modeling social network generation which explains both link and group formation. Recent studies on social network evolution propose generati...
    Elena Zheleva, Hossam Sharara, Lise Getoor
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