Transactions on Rough Sets XI
Springer Berlin (Verlag)
978-3-642-11478-6 (ISBN)
Mining Numerical Data - A Rough Set Approach.- Definability and Other Properties of Approximations for Generalized Indiscernibility Relations.- Variable Consistency Bagging Ensembles.- Classical and Dominance-Based Rough Sets in the Search for Genes under Balancing Selection.- Satisfiability Judgement under Incomplete Information.- Irreducible Descriptive Sets of Attributes for Information Systems.- Computational Theory Perception (CTP), Rough-Fuzzy Uncertainty Analysis and Mining in Bioinformatics and Web Intelligence: A Unified Framework.- Decision Rule-Based Data Models Using TRS and NetTRS - Methods and Algorithms.- A Distributed Decision Rules Calculation Using Apriori Algorithm.- Decision Table Reduction in KDD: Fuzzy Rough Based Approach.
Erscheint lt. Verlag | 20.1.2010 |
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Reihe/Serie | Lecture Notes in Computer Science | Transactions on Rough Sets |
Mitarbeit |
Chef-Herausgeber: James F. Peters, Andrzej Skowron |
Zusatzinfo | IX, 189 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 310 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | algorithms • approximation space • balancing selection • Bioinformatics • Calculus • case based reasoning • classical rough sets approach • concept modeling • Data Mining • Decision Rules • decision table reduction • descriptor language • Design • Distributed Computing • dominance-based rough sets • dominance-based rough sets approach • Extensions • fuzzy granulation • fuzzy rough sets • Hardcover, Softcover / Informatik, EDV/Informatik • information systems • irreducible descriptive sets • judgement making • Knowledge Discovery • maximal consistent • MR image segmentation • Natural selection • neutrality tests • Pawlak information system • Rough-fuzzy computing • Rough Sets • Rough Set Theory • satisfiability of formulas • Sets • Soft Computing • Web service classification |
ISBN-10 | 3-642-11478-4 / 3642114784 |
ISBN-13 | 978-3-642-11478-6 / 9783642114786 |
Zustand | Neuware |
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