Rough Sets and Knowledge Technology Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Yao, JingTao (Επιμελητής έκδοσης), Lingras, Pawan (Επιμελητής έκδοσης), Wu, Wei-Zhi (Επιμελητής έκδοσης), Szczuka, Marcin (Επιμελητής έκδοσης), Cercone, Nick J. (Επιμελητής έκδοσης), Ślȩzak, Dominik (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Lecture Notes in Computer Science, 4481
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Rough Sets and Knowledge Technology  |h [electronic resource] :  |b Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007. Proceedings /  |c edited by JingTao Yao, Pawan Lingras, Wei-Zhi Wu, Marcin Szczuka, Nick J. Cercone, Dominik Ślȩzak. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2007. 
300 |a XIV, 578 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 4481 
505 0 |a Invited Papers -- Decision-Theoretic Rough Set Models -- Efficient Attribute Reduction Based on Discernibility Matrix -- Near Sets. Toward Approximation Space-Based Object Recognition -- Rough Set Foundations -- On Covering Rough Sets -- On Transitive Uncertainty Mappings -- A Complete Method to Incomplete Information Systems -- Information Concept Lattice and Its Reductions -- Homomorphisms Between Relation Information Systems -- Dynamic Reduction Based on Rough Sets in Incomplete Decision Systems -- Entropies and Co–entropies for Incomplete Information Systems -- Granular Computing Based on a Generalized Approximation Space -- A General Definition of an Attribute Reduct -- Multiple Criteria Decision Analysis -- Mining Associations for Interface Design -- Optimized Generalized Decision in Dominance-Based Rough Set Approach -- Monotonic Variable Consistency Rough Set Approaches -- Bayesian Decision Theory for Dominance-Based Rough Set Approach -- Ranking by Rough Approximation of Preferences for Decision Engineering Applications -- Applying a Decision Making Model in the Early Diagnosis of Alzheimer’s Disease -- Biometrics -- Singular and Principal Subspace of Signal Information System by BROM Algorithm -- Biometric Verification by Projections in Error Subspaces -- Absolute Contrasts in Face Detection with AdaBoost Cascade -- Voice Activity Detection for Speaker Verification Systems -- Face Detection by Discrete Gabor Jets and Reference Graph of Fiducial Points -- Iris Recognition with Adaptive Coding -- Kansei Engineering -- Overview of Kansei System and Related Problems -- Reduction of Categorical and Numerical Attribute Values for Understandability of Data and Rules -- Semi-structured Decision Rules in Object-Oriented Rough Set Models for Kansei Engineering -- Functional Data Analysis and Its Application -- Evaluation of Pictogram Using Rough Sets -- A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval -- Autonomy-Oriented Computing -- A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection -- A Memetic-Clustering-Based Evolution Strategy for Traveling Salesman Problems -- An Efficient Probabilistic Approach to Network Community Mining -- A New Approach to Underdetermined Blind Source Separation Using Sparse Representation -- Soft Computing in Bioinformatics -- Evolutionary Fuzzy Biclustering of Gene Expression Data -- Rough Clustering and Regression Analysis -- Rule Induction for Prediction of MHC II-Binding Peptides -- Efficient Local Protein Structure Prediction -- Roughfication of Numeric Decision Tables: The Case Study of Gene Expression Data -- Ubiquitous Computing and Networking -- Ubiquitous Customer Relationship Management (uCRM) -- Towards the Optimal Design of an RFID-Based Positioning System for the Ubiquitous Computing Environment -- Wave Dissemination for Wireless Sensor Networks -- Two Types of a Zone-Based Clustering Method for Wireless Sensor Networks -- Rough Set Algorithms -- Set Approximations in Multi-level Conceptual Data -- Knowledge Reduction in Generalized Consistent Decision Formal Contexts -- Graphical Representation of Information on the Set of Reducts -- Minimal Attribute Space Bias for Attribute Reduction -- Two-Phase ?-Certain Reducts Generation -- Formal Concept Analysis and Set-Valued Information Systems -- Descriptors and Templates in Relational Information Systems -- ROSA: An Algebra for Rough Spatial Objects in Databases -- Knowledge Representation and Reasoning -- Learning Models Based on Formal Concept -- Granulation Based Approximate Ontologies Capture -- Fuzzy-Valued Transitive Inclusion Measure, Similarity Measure and Application to Approximate Reasoning -- Model Composition in Multi-dimensional Data Spaces -- An Incremental Approach for Attribute Reduction in Concept Lattice -- Topological Space for Attributes Set of a Formal Context -- Flow Graphs as a Tool for Mining Prediction Rules of Changes of Components in Temporal Information Systems -- Approximation Space-Based Socio-Technical Conflict Model -- Genetic Algorithms -- Improved Quantum-Inspired Genetic Algorithm Based Time-Frequency Analysis of Radar Emitter Signals -- Parameter Setting of Quantum-Inspired Genetic Algorithm Based on Real Observation -- A Rough Set Penalty Function for Marriage Selection in Multiple-Evaluation Genetic Algorithms -- Multiple Solutions by Means of Genetic Programming: A Collision Avoidance Example -- Rough Set Applications -- An Approach for Selective Ensemble Feature Selection Based on Rough Set Theory -- Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items -- Examination of the Parameter Space of a Computational Model of Acute Ischaemic Stroke Using Rough Sets -- Using Rough Set Theory to Induce Pavement Maintenance and Rehabilitation Strategy -- Descent Rules for Championships -- Rough Neuro Voting System for Data Mining: Application to Stock Price Prediction -- Counting All Common Subsequences to Order Alternatives. 
650 0 |a Computer science. 
650 0 |a Computers. 
650 0 |a Mathematical logic. 
650 0 |a Database management. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Database Management. 
650 2 4 |a Mathematical Logic and Formal Languages. 
650 2 4 |a Computation by Abstract Devices. 
650 2 4 |a Pattern Recognition. 
700 1 |a Yao, JingTao.  |e editor. 
700 1 |a Lingras, Pawan.  |e editor. 
700 1 |a Wu, Wei-Zhi.  |e editor. 
700 1 |a Szczuka, Marcin.  |e editor. 
700 1 |a Cercone, Nick J.  |e editor. 
700 1 |a Ślȩzak, Dominik.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540724575 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 4481 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-72458-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (Springer-11645)