Rough Set Theory: A True Landmark in Data Analysis

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Abraham, Ajith (Επιμελητής έκδοσης), Falcón, Rafael (Επιμελητής έκδοσης), Bello, Rafael (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Studies in Computational Intelligence, 174
• Θέματα: Computer science.; Artificial intelligence.; Computer-aided engineering.; Applied mathematics.; Engineering mathematics.; Computer Science.; Computer-Aided Engineering (CAD, CAE) and Design.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still...

Πίνακας περιεχομένων:

• Theoretical Contributions to Rough Set Theory
• Rough Sets on Fuzzy Approximation Spaces and Intuitionistic Fuzzy Approximation Spaces
• Categorical Innovations for Rough Sets
• Granular Structures and Approximations in Rough Sets and Knowledge Spaces
• On Approximation of Classifications, Rough Equalities and Rough Equivalences
• Rough Set Data Mining Activities
• Rough Clustering with Partial Supervision
• A Generic Scheme for Generating Prediction Rules Using Rough Sets
• Rough Web Caching
• Software Defect Classification: A Comparative Study of Rough-Neuro-fuzzy Hybrid Approaches with Linear and Non-linear SVMs
• Rough Hybrid Models to Classification and Attribute Reduction
• Rough Sets and Evolutionary Computation to Solve the Feature Selection Problem
• Nature Inspired Population-Based Heuristics for Rough Set Reduction
• Developing a Knowledge-Based System Using Rough Set Theory and Genetic Algorithms for Substation Fault Diagnosis.