Rough Sets and Knowledge Technology - Paperback

EAN (ISBN-13): 9783540724575
ISBN (ISBN-10): 3540724575
Paperback
Publishing year: 2007
Publisher: Springer Berlin
576 Pages
Weight: 0,888 kg
Language: eng/Englisch

Book in our database since 2007-05-25T03:54:54+01:00 (London)
Detail page last modified on 2023-03-08T10:49:18+00:00 (London)
ISBN/EAN: 3540724575

ISBN - alternate spelling:
3-540-72457-5, 978-3-540-72457-5
Alternate spelling and related search-keywords:
Book author: slezak, weiß dominik, wei zhi, szczuka
Book title: 2007, canada, toronto, rough sets knowledge technology, proceedings international conference, szczuka, lecture notes artificial intelligence

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Information from Publisher

Author: JingTao Yao; Pawan Lingras; Wei-Zhi Wu; Marcin Szczuka; Nick Cercone; Dominik Slezak
Title: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Rough Sets and Knowledge Technology - Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings
Publisher: Springer; Springer Berlin
578 Pages
Publishing year: 2007-04-27
Berlin; Heidelberg; DE
Language: English
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIV, 578 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Algorithms; algorithm; autonom; bioinformatics; biometrics; data mining; fuzzy; genetic algorithm; genetic algorithms; knowledge; knowledge representation; Artificial Intelligence; Data Mining and Knowledge Discovery; Database Management; Formal Languages and Automata Theory; Theory of Computation; Automated Pattern Recognition; Data Mining; Wissensbasierte Systeme, Expertensysteme; Datenbanken; Theoretische Informatik; Mustererkennung; EA

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 ItsApplication.- 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-ValuedTransitive 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.