Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam : Volume 1
This book is dedicated to the memory of Professor Zdzis{\l}aw Pawlak who passed away almost six year ago. He is the founder of the Polish school of Artificial Intelligence and one of the pioneers in Computer Engineering and Computer Science with worldwide influence. He was a truly great scientist, r...
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| Hlavní autor: | |
|---|---|
| Další autoři: | |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2013. |
| Edice: | Intelligent Systems Reference Library
42 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303432 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303456 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642442971 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303432 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303456 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642442971 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303432 |
Obsah:
- From the Contents: Professor Zdzis.aw Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence List ofWorks by Professor Zdzis.aw Pawlak (1926-2006) : Rough Sets: From Rudiments to Challenges Zdzis.aw Pawlak, Databases and Rough Sets jMAF - Dominance-based Rough Set Data Analysis Framework Dynamic Programming Approach for Exact Decision Rule Optimization Approaches for Updating Approximations in Set-Valued Information Systems while Objects and Attributes Vary with Time On the Gradual Evolvement of Things An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning