Transactions on Rough Sets I
Transactions on Rough Sets I [electronic resource] /
edited by James F. Peters, Jerzy W. Grzymala-Busse, Bozena Kostek, Roman W. Swiniarski, Marcin S. Szczuka.
- 1st ed. 2004.
- X, 406 p. online resource.
- Transactions on Rough Sets, 3100 1861-2067 ; .
- Transactions on Rough Sets, 3100 .
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.
9783540277941
10.1007/b98175 doi
Artificial intelligence.
Data mining.
Computer science.
Machine theory.
Database management.
Pattern recognition systems.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Theory of Computation.
Formal Languages and Automata Theory.
Database Management.
Automated Pattern Recognition.
Q334-342 TA347.A78
006.3
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.
9783540277941
10.1007/b98175 doi
Artificial intelligence.
Data mining.
Computer science.
Machine theory.
Database management.
Pattern recognition systems.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Theory of Computation.
Formal Languages and Automata Theory.
Database Management.
Automated Pattern Recognition.
Q334-342 TA347.A78
006.3