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    » Dynamic data polyvariance using source-tagged classes
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    DLS
    2005
    176views Languages» more  DLS 2005»
    Dynamic data polyvariance using source-tagged classes
    13 years 6 months ago
    Dynamic data polyvariance using source-tagged classes
    Download  www.ccs.neu.edu
    The DDP (Demand-driven/Pruning) analysis algorithm allows us to perform data-flow analyses of programming languages that are dynamically typed and have higher-order control flow...
    S. Alexander Spoon, Olin Shivers
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    AP2PC
    2003
    Springer
    178views Intelligent Agents» more  AP2PC 2003»
    G-Grid: A Class of Scalable and Self-Organizing Data Structures for Multi-dimensional Querying and Content Routing in P2P Networ
    13 years 9 months ago
    G-Grid: A Class of Scalable and Self-Organizing Data Structures for Multi-dimensional Querying and Content Routing in P2P Networ
    Download  tigger.uic.edu
    Peer-to-Peer (P2P) technologies promise to provide efficient distribution, sharing and management of resources, such as storage, processing, routing and other sundry service capabi...
    Aris M. Ouksel, Gianluca Moro
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    IPPS
    2003
    IEEE
    147views Distributed And Parallel Com...» more  IPPS 2003»
    Dynamically Loaded Classes as Shared Libraries: An Approach to Improving Virtual Machine Scalability
    13 years 9 months ago
    Dynamically Loaded Classes as Shared Libraries: An Approach to Improving Virtual Machine Scalability
    Download  labs.oracle.com
    Sharing selected data structures among virtual machines of a safe language can improve resource utilization of each participating run-time system. The challenge is to determine wh...
    Bernard Wong, Grzegorz Czajkowski, Laurent Dayn&eg...
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    EUSFLAT
    2009
    125views Fuzzy Logic» more  EUSFLAT 2009»
    A Dynamic Classification Method for the Discrimination of Evolving Data
    13 years 2 months ago
    A Dynamic Classification Method for the Discrimination of Evolving Data
    Download  www.eusflat.org
    Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
    Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
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    KDD
    2009
    ACM
    163views Data Mining» more  KDD 2009»
    Large-scale graph mining using backbone refinement classes
    14 years 5 months ago
    Large-scale graph mining using backbone refinement classes
    Download  www.maunz.de
    We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
    Andreas Maunz, Christoph Helma, Stefan Kramer
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