• Medientyp: E-Book
  • Titel: Transactions on Rough Sets VI : Commemorating the Life and Work of Zdzisław Pawlak, Part I
  • Beteiligte: Peters, James F. [Sonstige Person, Familie und Körperschaft]; Düntsch, Ivo [Sonstige Person, Familie und Körperschaft]; Grzymała-Busse, Jerzy [Sonstige Person, Familie und Körperschaft]; Orłowska, Ewa [Sonstige Person, Familie und Körperschaft]; Polkowski, Lech [Sonstige Person, Familie und Körperschaft]; Skowron, Andrzej [Sonstige Person, Familie und Körperschaft]
  • Erschienen: Berlin, Heidelberg: Springer Berlin Heidelberg, 2007
  • Erschienen in: Lecture notes in computer science ; 4374
    Bücher
  • Umfang: Online-Ressource (XII, 499 p. Also available online, digital)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-540-71200-8
  • ISBN: 9783540712008
  • Identifikator:
  • RVK-Notation: SS 4800 : Lecture notes in computer science
  • Schlagwörter: Computer vision ; Computer Science ; Computer science ; Database management ; Artificial intelligence ; Machine theory. ; Data mining.
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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.