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More About This Textbook
Overview
Together with volume VI of the Transactions on Rough Sets series, this book commemorates the life and work of Zdzislaw Pawlak (1926-2006). It presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak, introducing a number of advances in the foundations and applications of AI, engineering, logic, mathematics, and science, which have had significant implications in a number of research areas.
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Table of Contents
Contributed Papers.- Speech Coding Employing Intelligent Signal Processing Techniques.- Relational Attribute Systems II: Reasoning with Relations in Information Structures.- Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory.- Deriving Belief Networks and Belief Rules from Data: A Progress Report.- Selection of Important Attributes for Medical Diagnosis Systems.- Using Approximate Reduct and LVQ in Case Generation for CBR Classifiers.- Mining Rough Association from Text Documents for Web Information Gathering.- Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering.- Characterizing Pawlak’s Approximation Operators.- Application of Rough Sets in Pattern Recognition.- Lower and Upper Approximations in Data Tables Containing Possibilistic Information.- Hybrid Rough Sets-Population Based System.- Hybrid Rough Sets Intelligent System Architecture for Survival Analysis.- Rough Sets in Bioinformatics.- Rough Feature Selection for Intelligent Classifiers.- Granulation as a Privacy Protection Mechanism.- A Note on Definability and Approximations.- Feature Selection in Audiovisual Emotion Recognition Based on Rough Set Theory.- Monographs.- Novel Classification and Segmentation Techniques with Application to Remotely Sensed Images.