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    KDD
    2006
    ACM
    228views Data Mining» more  KDD 2006»
    Algorithms for time series knowledge mining
    14 years 8 months ago
    Algorithms for time series knowledge mining
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    Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
    Fabian Mörchen
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    KDD
    2003
    ACM
    124views Data Mining» more  KDD 2003»
    Information-theoretic co-clustering
    14 years 8 months ago
    Information-theoretic co-clustering
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    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
    152views Data Mining» more  KDD 2003»
    Interactive exploration of coherent patterns in time-series gene expression data
    14 years 8 months ago
    Interactive exploration of coherent patterns in time-series gene expression data
    Download  www.cs.sfu.ca
    Discovering coherent gene expression patterns in time-series gene expression data is an important task in bioinformatics research and biomedical applications. In this paper, we pr...
    Daxin Jiang, Jian Pei, Aidong Zhang
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    KDD
    2003
    ACM
    195views Data Mining» more  KDD 2003»
    Visualizing changes in the structure of data for exploratory feature selection
    14 years 8 months ago
    Visualizing changes in the structure of data for exploratory feature selection
    Download  www.ofai.at
    Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
    Elias Pampalk, Werner Goebl, Gerhard Widmer
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    KDD
    2003
    ACM
    135views Data Mining» more  KDD 2003»
    Efficiently handling feature redundancy in high-dimensional data
    14 years 8 months ago
    Efficiently handling feature redundancy in high-dimensional data
    Download  www.public.asu.edu
    High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
    Lei Yu, Huan Liu
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