Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam : Volume 2
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...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Awduron Eraill: | |
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Rhifyn: | 1st ed. 2013. |
| Cyfres: | Intelligent Systems Reference Library
43 |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
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, 9783642303401 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303401 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303425 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642436482 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303401 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642303425 • Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Texte imprimé, 9783642436482 |
Tabl Cynhwysion:
- From the Contents: From Logic to Computer Science A Personal Experience Knowledge Algebras and Their Discrete Duality Comparison of Greedy Algorithms for Decision Tree Optimization A Review of the Knowledge Granulation Methods: Discrete vs Continuous Algorithms Game-theoretic Rough Sets for Feature Selection A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach Incorporating Rough Data in Database Design for Imprecise Information Representation