Transactions on rough sets. I
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| Vydáno v: | Transactions on rough sets (Internet), 1 |
|---|---|
| Hlavní autor: | |
| Další autoři: | , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer-Verlag Berlin Heidelberg : Springer e-books
[20..].
Cham : Springer Nature |
| Edice: | Lecture notes in computer science
3100 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
N˚de : Transactions on rough sets, ISSN 1861-2067, vol. 1 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Consulter le titre dans une bibliothèque: | Cliquer ici |
| Edition sous un autre format: | • Transactions on rough sets I, James F. Peters, Andrzej Skowron, Jerzy W. Grzymala-Busse,... [et al.] (Eds.), Berlin, Springer, 2004, 1 vol. (X-404 p.), Lecture notes in computer science, 3-540-22374-6 • Transactions on Rough Sets I, Texte imprimé, 9783662186961 |
Obsah:
- Rough Sets Introduction
- Some Issues on Rough Sets
- Rough Sets Theory
- Learning Rules from Very Large Databases Using Rough Multisets
- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction
- Generalizations of Rough Sets and Rule Extraction
- Towards Scalable Algorithms for Discovering Rough Set Reducts
- Variable Precision Fuzzy Rough Sets
- Greedy Algorithm of Decision Tree Construction for Real Data Tables
- Consistency Measures for Conflict Profiles
- Layered Learning for Concept Synthesis
- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis
- A Partition Model of Granular Computing
- Rough Sets Applications
- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets
- Processing of Musical Metadata Employing Pawlak s Flow Graphs
- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values
- Rough Sets and Relational Learning
- Approximation Space for Software Models
- Application of Rough Sets to Environmental Engineering Models
- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients
- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition.