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      1. Data och IT
      2. Systemvetenskap och AI
      3. Artificiell intelligens

      Three Approaches to Data Analysis

      Test Theory, Rough Sets and Logical Analysis of Data

      AvBeata Zielosko,Andrzej Skowron

      E-bok
      PDF, Engelska, 2012

      1 455 kr

      Läs direkt i Bokus Reader – eller ladda ned till din enhet (PDF kräver ofta zoom och scroll på små skärmar).

      Beskrivning

      In this book, the following three approaches to data analysis are presented:

       - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958,

      -           Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982,

      -           Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988.

      These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.

      -           Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the firstpublications appeared in 1986 and 1988.

      These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.

      These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.

      Produktinformation

      • Utgivningsdatum:2012-07-28
      • Språk:Engelska
      • Filformat:PDF
      • Kopieringsskydd:LCP
      • ISBN:9783642286674
      • Förlag:Springer Berlin Heidelberg

      Utforska kategorier

      • Artificiell intelligens inom Data och IT
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