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    JCP
    2006
    111views more  JCP 2006»
    Mining Developing Trends of Dynamic Spatiotemporal Data Streams
    13 years 8 months ago
    Mining Developing Trends of Dynamic Spatiotemporal Data Streams
    Download  www.academypublisher.com
    This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
    Yu Meng, Margaret H. Dunham
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    BMCBI
    2008
    142views more  BMCBI 2008»
    Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
    13 years 8 months ago
    Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
    Download  www.biomedcentral.com
    Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
    Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
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    LWA
    2008
    121views Software Engineering» more  LWA 2008»
    Pre analysis and clustering of uncertain data from manufacturing processes
    13 years 10 months ago
    Pre analysis and clustering of uncertain data from manufacturing processes
    Download  wwwdb.inf.tu-dresden.de
    With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
    Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
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    KDD
    2009
    ACM
    208views Data Mining» more  KDD 2009»
    A principled and flexible framework for finding alternative clusterings
    14 years 9 months ago
    A principled and flexible framework for finding alternative clusterings
    Download  wwwcsif.cs.ucdavis.edu
    The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
    Zijie Qi, Ian Davidson
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    ICDM
    2005
    IEEE
    189views Data Mining» more  ICDM 2005»
    Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
    14 years 2 months ago
    Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
    Download  www.cs.ust.hk
    We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
    Jie Yin, Qiang Yang
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