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    CGF
    2010
    189views more  CGF 2010»
    Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
    13 years 7 months ago
    Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
    Download  www.gris.informatik.tu-darmstadt.de
    Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
    Gennady L. Andrienko, Natalia V. Andrienko, Sebast...
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    NOMS
    2006
    IEEE
    84views Communications» more  NOMS 2006»
    Predicting Machine Availabilities in Desktop Pools
    14 years 1 months ago
    Predicting Machine Availabilities in Desktop Pools
    Download  www.zib.de
    —This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
    Artur Andrzejak, Patrício Domingues, Lu&iac...
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    MICCAI
    2006
    Springer
    248views Medical Imaging» more  MICCAI 2006»
    Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
    14 years 8 months ago
    Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
    Download  www.wisdom.weizmann.ac.il
    Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
    Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
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    ACSW
    2007
    353views Security Privacy» more  ACSW 2007»
    A Data Warehouse Architecture for Clinical Data Warehousing
    13 years 9 months ago
    A Data Warehouse Architecture for Clinical Data Warehousing
    Download  crpit.com
    Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
    Tony R. Sahama, Peter R. Croll
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 9 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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