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    KDD
    2009
    ACM
    198views Data Mining» more  KDD 2009»
    Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
    16 years 6 months ago
    Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
    Download  www.pervasivedatarush.com
    All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
    Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
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    KDD
    2005
    ACM
    123views Data Mining» more  KDD 2005»
    Automated detection of frontal systems from numerical model-generated data
    15 years 11 months ago
    Automated detection of frontal systems from numerical model-generated data
    Download  www.cs.uiuc.edu
    Xiang Li, Rahul Ramachandran, Sara J. Graves, Suni...
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    DMKD
    2004
    ACM
    121views Data Mining» more  DMKD 2004»
    Discovery of ads web hosts through traffic data analysis
    15 years 9 months ago
    Discovery of ads web hosts through traffic data analysis
    Download  making.csie.ndhu.edu.tw
    One of the most actual problems on web crawling
    V. Bacarella, Fosca Giannotti, Mirco Nanni, Dino P...
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    TKDE
    2012
    253views Formal Methods» more  TKDE 2012»
    Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
    13 years 8 months ago
    Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
    Download  www.sundaychennai.com
    —Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, joining tables and aggregating columns....
    Carlos Ordonez, Zhibo Chen 0002
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    SIGMOD
    1998
    ACM
    233views Database» more  SIGMOD 1998»
    Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
    15 years 10 months ago
    Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
    Download  www.cs.cornell.edu
    Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
    Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopul...
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