Transactions on Rough Sets VI Commemorating the Life and Work of Zdzisław Pawlak, Part I /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Peters, James F. (Επιμελητής έκδοσης), Skowron, Andrzej (Επιμελητής έκδοσης), Düntsch, Ivo (Επιμελητής έκδοσης), Grzymała-Busse, Jerzy (Επιμελητής έκδοσης), Orłowska, Ewa (Επιμελητής έκδοσης), Polkowski, Lech (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Lecture Notes in Computer Science, 4374
• Θέματα: Computer science.; Computers.; Mathematical logic.; Database management.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Theory of Computation.; Mathematical Logic and Formal Languages.; Computation by Abstract Devices.; Database Management.

Πίνακας περιεχομένων:

• Contributed Papers
• Propositional Logics from Rough Set Theory
• Intuitionistic Rough Sets for Database Applications
• An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values
• Pawlak’s Landscaping with Rough Sets
• A Comparison of Pawlak’s and Skowron–Stepaniuk’s Approximation of Concepts
• Data Preparation for Data Mining in Medical Data Sets
• A Wistech Paradigm for Intelligent Systems
• The Domain of Acoustics Seen from the Rough Sets Perspective
• Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study
• The Impact of Rough Set Research in China: In Commemoration of Professor Zdzis?aw Pawlak
• A Four-Valued Logic for Rough Set-Like Approximate Reasoning
• On Representation and Analysis of Crisp and Fuzzy Information Systems
• On Partial Covers, Reducts and Decision Rules with Weights
• A Personal View on AI, Rough Set Theory and Professor Pawlak
• Formal Topology and Information Systems
• On Conjugate Information Systems: A Proposition on How to Learn Concepts in Humane Sciences by Means of Rough Set Theory
• Discovering Association Rules in Incomplete Transactional Databases
• On Combined Classifiers, Rule Induction and Rough Sets
• Approximation Spaces in Multi Relational Knowledge Discovery
• Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy
• A Model PM for Preprocessing and Data Mining Proper Process
• Monographs
• Lattice Theory for Rough Sets.