| 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 |
| 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 |
| 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 |
| ANZEIGE DER KETTE |
Datenanalyse |
| 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 |
