Editors-in-chief: Peters, James F., Skowron, Andrzej Marek, V.W., Orlowska, E., Slowiński, R., Ziarko, W. (Eds.)
2007, X, 381 p. Also available online.
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Together with volume VI of the Transactions on Rough Sets (TRS) series, this book commemorates the life and work of Zdzislaw Pawlak (1926-2006). Professor Pawlak's legacy is rich and varied. His research contributions have had far-reaching implications inasmuch as his works have been fundamental in establishing new perspectives for scientific research in a wide spectrum of fields.
This volume presents papers that reflect the profound influence of a number of research initiatives by Professor Pawlak. In particular, it introduces a number of advances in the foundations and applications of artificial intelligence, engineering, logic, mathematics, and science, which have had significant implications in a number of research areas, including bioinformatics, computational intelligence, data mining, information systems, intelligent systems, machine intelligence, and security.
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, to relations between rough sets and other approaches to uncertainty, vagueness, and inc
Content Level »Research
Keywords »artificial intelligence - bioinformatics - computational intelligence - data mining - information processing - knowledge - knowledge discovery
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.