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Noirhomme-Fraiture, M.

Paper Title Page
WEP014 Processing of Large Data Sets: Evolution, Opportunities and Challenges 198
  • I. D. Valova
    ICSR, Sofia
  • M. Noirhomme-Fraiture
    FUNDP, Namur
  In the paper are analyzed the applied and theoretical results achieved, as well as some existing drawbacks in technologies for processing of large data sets-OLAP (On-line Analytic Processing), DM (Data Mining) and SDA (Symbolic Data Analysis). A comparative analysis is proposed on different types of data processing and are highlighted the pros and cons of each one of them. Here are discussed benefits and drawbacks at using of data aggregates and visualization of large data set. Some topics of interest are shown for the purposes of additional scientific study, being specifically oriented to software applications.  
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