Search (2 results, page 1 of 1)

  • × author_ss:"Fayyad, U.M."
  • × year_i:[1990 TO 2000}
  1. Fayyad, U.M.: Data mining and knowledge dicovery : making sense out of data (1996) 0.08
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    Abstract
    Defines knowledge discovery and data mining (KDD) as the overall process of extracting high level knowledge from low level data. Outlines the KDD process. Explains how KDD is related to the fields of: statistics, pattern recognition, machine learning, artificial intelligence, databases and data warehouses
    Theme
    Data Mining
  2. Fayyad, U.M.; Djorgovski, S.G.; Weir, N.: From digitized images to online catalogs : data ming a sky server (1996) 0.05
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    Abstract
    Offers a data mining approach based on machine learning classification methods to the problem of automated cataloguing of online databases of digital images resulting from sky surveys. The SKICAT system automates the reduction and analysis of 3 terabytes of images expected to contain about 2 billion sky objects. It offers a solution to problems associated with the analysis of large data sets in science
    Theme
    Data Mining