Three Approaches to Data Analysis: Test Theory, Rough Sets and Logical Analysis of Data

Three Approaches to Data Analysis: Test Theory, Rough Sets and Logical Analysis of Data

Igor Chikalov , Vadim Lozin , Irina Lozina
아직 평점이 없습니다
Aug 9, 2014 · 영어 · 페이퍼백 (220 페이지)
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책 세부 정보

형식 페이퍼백
페이지 220
언어 영어
출판됨 Aug 9, 2014
출판사 Springer
ISBN-10 3642445985
ISBN-13 9783642445989

설명

In this book, the following three approaches to data analysis are  - 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 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. 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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