Chikalov / Lozin / Lozina | Three Approaches to Data Analysis | Buch | 978-3-642-44598-9 | sack.de

Buch, Englisch, Band 41, 202 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3401 g

Reihe: Intelligent Systems Reference Library

Chikalov / Lozin / Lozina

Three Approaches to Data Analysis

Test Theory, Rough Sets and Logical Analysis of Data
2013
ISBN: 978-3-642-44598-9
Verlag: Springer

Test Theory, Rough Sets and Logical Analysis of Data

Buch, Englisch, Band 41, 202 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3401 g

Reihe: Intelligent Systems Reference Library

ISBN: 978-3-642-44598-9
Verlag: Springer


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 Zdzislaw 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.

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Research

Weitere Infos & Material


Test Theory: Tools and Applications.- Rough Sets.- Logical Analysis of Data: Theory, Methodology and Applications.



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