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    PVLDB
    2008
    99views more  PVLDB 2008»
    Industry-scale duplicate detection
    13 years 8 months ago
    Industry-scale duplicate detection
    Download  www.hpi.uni-potsdam.de
    Duplicate detection is the process of identifying multiple representations of a same real-world object in a data source. Duplicate detection is a problem of critical importance in...
    Melanie Weis, Felix Naumann, Ulrich Jehle, Jens Lu...
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    PVLDB
    2008
    131views more  PVLDB 2008»
    Learning to create data-integrating queries
    13 years 8 months ago
    Learning to create data-integrating queries
    Download  www.cis.upenn.edu
    The number of potentially-related data resources available for querying -- databases, data warehouses, virtual integrated schemas -continues to grow rapidly. Perhaps no area has s...
    Partha Pratim Talukdar, Marie Jacob, Muhammad Salm...
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    PVLDB
    2008
    101views more  PVLDB 2008»
    Multidimensional content eXploration
    13 years 8 months ago
    Multidimensional content eXploration
    Download  pages.cs.wisc.edu
    Content Management Systems (CMS) store enterprise data such as insurance claims, insurance policies, legal documents, patent applications, or archival data like in the case of dig...
    Alkis Simitsis, Akanksha Baid, Yannis Sismanis, Be...
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    SAC
    2008
    ACM
    107views Applied Computing» more  SAC 2008»
    Dynamic populations in genetic algorithms
    13 years 8 months ago
    Dynamic populations in genetic algorithms
    Download  www2.cs.uidaho.edu
    Biological populations are dynamic in both space and time, that is, the population size of a species fluctuates across their habitats over time. There are rarely any static or fix...
    Zhanshan (Sam) Ma, Axel W. Krings
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    SAC
    2008
    ACM
    158views Applied Computing» more  SAC 2008»
    Tag-aware recommender systems by fusion of collaborative filtering algorithms
    13 years 8 months ago
    Tag-aware recommender systems by fusion of collaborative filtering algorithms
    Download  www.ismll.uni-hildesheim.de
    Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
    Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
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