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    KDD
    2003
    ACM
    124views Data Mining» more  KDD 2003»
    Information-theoretic co-clustering
    14 years 9 months ago
    Information-theoretic co-clustering
    Download  www.cs.utexas.edu
    Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
    Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
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    KDD
    2003
    ACM
    194views Data Mining» more  KDD 2003»
    Finding recent frequent itemsets adaptively over online data streams
    14 years 9 months ago
    Finding recent frequent itemsets adaptively over online data streams
    Download  magna.cs.ucla.edu
    A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
    Joong Hyuk Chang, Won Suk Lee
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    KDD
    2003
    ACM
    111views Data Mining» more  KDD 2003»
    Translation-invariant mixture models for curve clustering
    14 years 9 months ago
    Translation-invariant mixture models for curve clustering
    Download  www.datalab.uci.edu
    Darya Chudova, Scott Gaffney, Eric Mjolsness, Padh...
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    KDD
    2003
    ACM
    146views Data Mining» more  KDD 2003»
    Probabilistic discovery of time series motifs
    14 years 9 months ago
    Probabilistic discovery of time series motifs
    Download  www.cs.ucr.edu
    Several important time series data mining problems reduce to the core task of finding approximately repeated subsequences in a longer time series. In an earlier work, we formalize...
    Bill Yuan-chi Chiu, Eamonn J. Keogh, Stefano Lonar...
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    KDD
    2003
    ACM
    122views Data Mining» more  KDD 2003»
    Understanding captions in biomedical publications
    14 years 9 months ago
    Understanding captions in biomedical publications
    Download  murphylab.web.cmu.edu
    From the standpoint of the automated extraction of scientific knowledge, an important but little-studied part of scientific publications are the figures and accompanying captions....
    William W. Cohen, Richard C. Wang, Robert F. Murph...
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    KDD
    2003
    ACM
    146views Data Mining» more  KDD 2003»
    Style mining of electronic messages for multiple authorship discrimination: first results
    14 years 9 months ago
    Style mining of electronic messages for multiple authorship discrimination: first results
    Download  lingcog.iit.edu
    This paper considers the use of computational stylistics for performing authorship attribution of electronic messages, addressing categorization problems with as many as 20 differ...
    Shlomo Argamon, Marin Saric, Sterling Stuart Stein
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    KDD
    2003
    ACM
    152views Data Mining» more  KDD 2003»
    An adaptive nearest neighbor search for a parts acquisition ePortal
    14 years 9 months ago
    An adaptive nearest neighbor search for a parts acquisition ePortal
    Download  videotechresearch.com
    Rafael Alonso, Jeffrey A. Bloom, Hua Li, Chumki Ba...
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    KDD
    2003
    ACM
    116views Data Mining» more  KDD 2003»
    Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams
    14 years 9 months ago
    Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams
    Download  lyonesse.stanford.edu
    Kamal Ali, Steven P. Ketchpel
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    KDD
    2003
    ACM
    130views Data Mining» more  KDD 2003»
    Towards systematic design of distance functions for data mining applications
    14 years 9 months ago
    Towards systematic design of distance functions for data mining applications
    Download  charuaggarwal.net
    Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
    Charu C. Aggarwal
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    KDD
    2003
    ACM
    156views Data Mining» more  KDD 2003»
    Mining distance-based outliers in near linear time with randomization and a simple pruning rule
    14 years 9 months ago
    Mining distance-based outliers in near linear time with randomization and a simple pruning rule
    Download  www.isle.org
    Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
    Stephen D. Bay, Mark Schwabacher
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