Overview
- Present three famous approaches to data analysis:
- Test Theory (founded by Sergei V. Yablonskii), Rough Sets, (founded by Zdzislaw I. Pawlak) and the Logical Analysis of Data (founded by Peter L. Hammer)
- Stimulates research on the relationships between the three data analysis approaches as well as the development of new methods based on a combination of the existing methods
- Written by leading experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 41)
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Table of contents (3 chapters)
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Front Matter
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Test Theory
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Front Matter
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Back Matter
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Rough Sets
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Front Matter
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Back Matter
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Logical Analysis of Data
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Front Matter
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Back Matter
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Back Matter
Keywords
About this book
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.
Reviews
From the reviews:
“The aim of this book is to present three approaches to data analysis: test theory (TT), rough sets (RS) and logical analysis of data (LAD). … The book can be used successfully by researchers interested in data analysis.” (Ion Iancu, Zentralblatt MATH, Vol. 1254, 2013)
Authors and Affiliations
Bibliographic Information
Book Title: Three Approaches to Data Analysis
Book Subtitle: Test Theory, Rough Sets and Logical Analysis of Data
Authors: Igor Chikalov, Vadim Lozin, Irina Lozina, Mikhail Moshkov, Hung Son Nguyen, Andrzej Skowron, Beata Zielosko
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-28667-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-28666-7Published: 28 July 2012
Softcover ISBN: 978-3-642-44598-9Published: 09 August 2014
eBook ISBN: 978-3-642-28667-4Published: 28 July 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVIII, 202