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    » Detection of Spatial Changes using Spatial Data Mining
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    SDM
    2009
    SIAM
    129views Data Mining» more  SDM 2009»
    Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
    14 years 5 months ago
    Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
    Download  www.csee.umbc.edu
    This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
    Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
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    COSIT
    2003
    Springer
    145views GIS» more  COSIT 2003»
    Extracting Landmarks with Data Mining Methods
    14 years 1 months ago
    Extracting Landmarks with Data Mining Methods
    Download  www.ikg.uni-hannover.de
    Abstract. The navigation task is a very demanding application for mobile users. The algorithms of present software solutions are based on the established methods of car navigation ...
    Birgit Elias
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    SDM
    2007
    SIAM
    133views Data Mining» more  SDM 2007»
    Change-Point Detection using Krylov Subspace Learning
    13 years 9 months ago
    Change-Point Detection using Krylov Subspace Learning
    Download  siam.org
    We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
    Tsuyoshi Idé, Koji Tsuda
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    AUSDM
    2007
    Springer
    112views Data Mining» more  AUSDM 2007»
    Measuring Data-Driven Ontology Changes using Text Mining
    14 years 2 months ago
    Measuring Data-Driven Ontology Changes using Text Mining
    Download  crpit.com
    Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
    Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
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    ICDM
    2009
    IEEE
    207views Data Mining» more  ICDM 2009»
    Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
    13 years 5 months ago
    Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
    Download  ideal.ece.utexas.edu
    Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
    Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
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