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Three Approaches to Data Analysis : Test Theory, Rough Sets and Logical Analysis of Data / / by Igor Chikalov, Vadim Lozin, Irina Lozina, Mikhail Moshkov, Hung Son Nguyen, Andrzej Skowron, Beata Zielosko



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Titolo: Three Approaches to Data Analysis : Test Theory, Rough Sets and Logical Analysis of Data / / by Igor Chikalov, Vadim Lozin, Irina Lozina, Mikhail Moshkov, Hung Son Nguyen, Andrzej Skowron, Beata Zielosko Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (208 p.)
Disciplina: 616.800
Soggetto topico: Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Altri autori: ChikalovIgor  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Test Theory: Tools and Applications -- Rough Sets -- Logical Analysis of Data: Theory, Methodology and Applications.
Sommario/riassunto: 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.
Titolo autorizzato: Three Approaches to Data Analysis  Visualizza cluster
ISBN: 9783642286674
3642286674
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910437763703321
Lo trovi qui: Univ. Federico II
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Serie: Intelligent Systems Reference Library, . 1868-4408 ; ; 41