Transactions on Rough Sets I [electronic resource] : James F. Peters - Andrzej Skowron, Editors-in-Chief /

Rough Sets – Introduction -- Some Issues on Rough Sets -- Rough Sets – Theory -- Learning Rules from Very Large Databases Using Rough Multisets -- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction -- Generalizations of Rough Sets and Rule Extraction -- Towards Scalable Algorithms for Discovering Rough Set Reducts -- Variable Precision Fuzzy Rough Sets -- Greedy Algorithm of Decision Tree Construction for Real Data Tables -- Consistency Measures for Conflict Profiles -- Layered Learning for Concept Synthesis -- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis -- A Partition Model of Granular Computing -- Rough Sets – Applications -- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets -- Processing of Musical Metadata Employing Pawlak’s Flow Graphs -- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values -- Rough Sets and Relational Learning -- Approximation Space for Software Models -- Application of Rough Sets to Environmental Engineering Models -- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients -- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition.

Bibliographic Details

Main Authors:	Peters, James F. editor., Skowron, Andrzej. editor., Grzymała-Busse, Jerzy W. editor., Kostek, Bożena. editor., Świniarski, Roman W. editor., Szczuka, Marcin S. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg, 2004
Subjects:	Computer science., Computers., Mathematical logic., Database management., Data mining., Artificial intelligence., Pattern recognition., Computer Science., Artificial Intelligence (incl. Robotics)., Data Mining and Knowledge Discovery., Computation by Abstract Devices., Mathematical Logic and Formal Languages., Database Management., Pattern Recognition.,
Online Access:	http://dx.doi.org/10.1007/b98175
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