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

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Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	371085918 Buchausg. u.d.T.: ‡Three approaches to data analysis
ISBN	978-3-642-28666-7
Name	Chikalov, Igor
Name	Lozin, Vadim
Name ANZEIGE DER KETTE	Lozin, Vadim
Name	Lozina, Irina
	Moshkov, Mikhail Ju.
	Nguyen, Hung Son
	Skowron, Andrzej
	Zielosko, Beata
T I T E L	Three Approaches to Data Analysis
Zusatz zum Titel	Test Theory, Rough Sets and Logical Analysis of Data
Verlagsort	Berlin, Heidelberg
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (XVIII, 202 p. 23 illus, digital)
Reihe	Intelligent Systems Reference Library ; 41
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	Title; Preface; Contents; Test Theory; Test Theory: Tools and Applications; Decision Trees, Rules and Tests; Main Notions and Relationships; Lower and Upper Bounds; Algorithms; Theorem 1.46.; Tests; Definitions; Length of Tests; Number of Reducts; Algorithms for Construction of Minimum Tests; Infinite and Large Finite Sets of Attributes; Basic Notions; Local Approach to Study of Decision Trees and Rules; Global Approach to Study of Decision Trees and Rules; Pattern Recognition; Control and Diagnosis of Faults; Problems of Control and Diagnosis; Contact Networks and Combinatorial Circuits. Faults on InputsNet as It Is; Specially Constructed Nets; Discrete Optimization and Recognition ofWords; Discrete Optimization; Traveling Salesman Problem with Four Cities; Regular LanguageWord Recognition; Conclusions; References; Rough Sets; Rough Sets; Introduction; Vague Concepts; Rudiments of Rough Sets; Indiscernibility and Approximation; Decision Systems and Decision Rules; Dependency of Attributes; Reduction of Attributes; Discernibility and Boolean Reasoning; Rough Membership; Generalizations of Approximation Spaces; Rough Sets and Induction; Rough Sets and Classifiers. Inducing Relevant Approximation SpacesRough Sets and Higher Order Vagueness; Information Granulation; Ontological Framework for Approximation; Rough Sets, Approximate Boolean Reasoning and Scalability; Reduct Calculation; Discretization of Large Data Sets Stored in Relational Databases; Rough Sets and Logic; Interactive Rough Granular Computing (IRGC); Context Inducing and IRGC; Process Mining and IRGC; Perception Based Computing and IRGC; Conclusions; References; Logical Analysis of Data; Logical Analysis of Data: Theory, Methodology and Applications; Introduction; Theory. Terminology and NotationMethodology; Binarization; Attribute Selection; Applications; Credit Risk Ratings; Estimating Passenger Show Rates in the Airline Industry; Improved Screening for Growth Hormone Deficiency Using Logical Analysis of Data; Using LAD for the Prediction of 1-YearMyocardial Infarction and Death; Fault Detection and Diagnosis for Condition Based Maintenance Using the Logical Analysis of Data; Conclusion; References; Index;
Titelhinweis	Buchausg. u.d.T.: ‡Three approaches to data analysis
ISBN	ISBN 978-3-642-28667-4
Klassifikation	UYQ
	COM004000
	*68-02
	68P05
	68T05
	68T10
	68T27
	68T37
	519.53
	006.3
	Q342
	ST 270
Kurzbeschreibung	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 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.
1. Schlagwortkette	Datenanalyse
	Aufsatzsammlung
	Aufsatzsammlung
SWB-Titel-Idn	373364806
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-28667-4
Internetseite / Link	Volltext
Siehe auch	Inhaltsverzeichnis
Siehe auch	Inhaltstext
Siehe auch	Volltext
Siehe auch	Cover
Siehe auch	Inhaltstext

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