• Produktbild: Rough Set and Knowledge Technology
  • Produktbild: Rough Set and Knowledge Technology
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Rough Set and Knowledge Technology 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.09.2010

Herausgeber

Jian Yu + weitere

Verlag

Springer Berlin

Seitenzahl

781

Maße (L/B/H)

23,7/15,7/3,3 cm

Gewicht

1116 g

Auflage

2010

Sprache

Englisch

ISBN

978-3-642-16247-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.09.2010

Herausgeber

Verlag

Springer Berlin

Seitenzahl

781

Maße (L/B/H)

23,7/15,7/3,3 cm

Gewicht

1116 g

Auflage

2010

Sprache

Englisch

ISBN

978-3-642-16247-3

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 30 827870
Fax: +49 30 8214091

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  • Produktbild: Rough Set and Knowledge Technology
  • Produktbild: Rough Set and Knowledge Technology
  • Keynote Speech.- Comparative Study on Mathematical Foundations of Type-2 Fuzzy Set, Rough Set and Cloud Model.- Scientific Challenges in Contextual Advertising.- F-granulation, Generalized Rough Entropy and Pattern Recognition.- Knowledge Discovery about Preferences Using the Dominance-Based Rough Set Approach.- Wikipedia and How to Use It for Semantic Document Representation.- Granular Computing and Computational Complexity.- Rough Sets and Computing Theory.- Some Comparative Analyses of Data in the RSDS System.- Rough Temporal Vague Sets in Pawlak Approximation Space.- Poset Approaches to Covering-Based Rough Sets.- 1-vs-Others Rough Decision Forest.- Knowledge Reduction in Random Incomplete Information Systems via Evidence Theory.- Knowledge Reduction Based on Granular Computing from Decision Information Systems.- Pattern Classification Using Class-Dependent Rough-Fuzzy Granular Space.- Generate (F, ?)-Dynamic Reduct Using Cascading Hashes.- Incorporating Great Deluge with Kempe Chain Neighbourhood Structure for the Enrolment-Based Course Timetabling Problem.- Ordered Weighted Average Based Fuzzy Rough Sets.- On Attribute Reduction of Rough Set Based on Pruning Rules.- Set-Theoretic Models of Granular Structures.- A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball.- Indiscernibility and Similarity in an Incomplete Information Table.- A New Fitness Function for Solving Minimum Attribute Reduction Problem.- Temporal Dynamics in Rough Sets Based on Coverings.- Data Classification Using Rough Sets and Naïve Bayes.- A Heuristic Reduction Algorithm in IIS Based on Binary Matrix.- Generalized Distribution Reduction in Inconsistent Decision Systems Based on Dominance Relations.- Towards Multi-adjoint Property-Oriented Concept Lattices.- Extension of Covering Approximation Space and Its Application in Attribute Reduction.- A New Extended Dominance Relation Approach Based on Probabilistic Rough Set Theory.- An Equivalent Form of Rough Logic System RSL.- Fuzzy Sets.- Conceptual Reduction of Fuzzy Dual Concept Lattices.- Qualitative Approximations of Fuzzy Sets and Non-classical Three-Valued Logics (I).- Qualitative Approximations of Fuzzy Sets and Non-classical Three-Valued Logics (II).- Implication Operator of Linguistic Truth-Valued Intuitionistic Fuzzy Lattice.- Robust Granular Neural Networks, Fuzzy Granules and Classification.- Perturbed Iterative Approximation of Common Fixed Points on Nonlinear Fuzzy and Crisp Mixed Family Operator Equation Couples in Menger PN-Spaces.- Improving the Learning of Recurring Concepts through High-Level Fuzzy Contexts.- Knowledge Technology.- A Frequent Pattern Mining Method for Finding Planted (l, d)-motifs of Unknown Length.- A Quick Incremental Updating Algorithm for Computing Core Attributes.- Using Lexical Ontology for Semi-automatic Logical Data Warehouse Design.- Likelihood-Based Sampling from Databases for Rule Induction Methods.- Residual Analysis of Statistical Dependence in Multiway Contingency Tables.- A Note on the Effect of Knowledge Refinement on Bag Structures.- A Belief Structure for Reasoning about Knowledge.- Research on Mapping Mechanism of Learning Expression.- Linking Open Spatiotemporal Data in the Data Clouds.- Review of Software Security Defects Taxonomy.- A New Hybrid Method of Generation of Decision Rules Using the Constructive Induction Mechanism.- Intelligent Information Processing.- An Effective Principal Curves Extraction Algorithm for Complex Distribution Dataset.- Parallel Reducts Based on Attribute Significance.- A Rough Sets Approach to User Preference Modeling.- A Tool for Study of Optimal Decision Trees.- Automatic Part of Speech Tagging for Arabic: An Experiment Using Bigram Hidden Markov Model.- Application of Rough Sets Theory in Air Quality Assessment.- An Interactive Approach to Outlier Detection.- Health Informatics and Biometrics Authentication.- Rules for Ontology Population from Text of Malaysia Medicinal Herbs Domain.- Gait Recognition Based on Outermost Contour.- Pseudofractal 2D Shape Recognition.- Classification of MMPI Profiles of Patients with Mental Disorders – Experiments with Attribute Reduction and Extension.- Automatic 3D Face Correspondence Based on Feature Extraction in 2D Space.- The Neuropathological Diagnosis of the Alzheimer’s Disease under the Consideration of Verbal Decision Analysis Methods.- Autonomous Adaptive Data Mining for u-Healthcare.- Fast Iris Localization Based on Improved Hough Transform.- Face Recognition Using Consistency Method and Its Variants.- Neural Networks.- Clonal Selection Algorithm for Learning Concept Hierarchy from Malay Text.- Action Potential Classification Based on LVQ Neural Network.- Back Propagation Approach for Semi-supervised Learning in Granular Computing.- Complex Networks.- WebRank: A Hybrid Page Scoring Approach Based on Social Network Analysis.- Superficial Method for Extracting Social Network for Academics Using Web Snippets.- Research of Spatio-temporal Similarity Measure on Network Constrained Trajectory Data.- Granular Computing.- Dampster-Shafer Evidence Theory Based Multi-Characteristics Fusion for Clustering Evaluation.- Recognition of Internet Portal Users on the Basis of Their Behaviour.- Hierarchical Information System and Its Properties.- Feature-Weighted Mountain Method with Its Application to Color Image Segmentation.- An Improved FCM Clustering Method for Interval Data.- An Improved FCM Algorithm for Image Segmentation.- A Neighborhood Density Estimation Clustering Algorithm Based on Minimum Spanning Tree.- Metaheuristic.- Hybrid Differential Evolution for Global Numerical Optimization.- A Tabu-Based Memetic Approach for Examination Timetabling Problems.- The Geometric Constraint Solving Based on the Quantum Particle Swarm.- Fish Swarm Intelligent Algorithm for the Course Timetabling Problem.- Special Session: Cloud Model and Its Application.- A Supervised and Multivariate Discretization Algorithm for Rough Sets.- Comparative Study of Type-2 Fuzzy Sets and Cloud Model.- Operations of Fuzzy Numbers via Genuine Set.- An Uncertain Control Framework of Cloud Model.- A Comparative Study of Cloud Model and Extended Fuzzy Sets.- A Variable Step-Size LMS Algorithm Based on Cloud Model with Application to Multiuser Interference Cancellation.- A Qualitative Requirement and Quantitative Data Transform Model.- Special Session: Data Mining in Cloud Computing.- The High-Activity Parallel Implementation of Data Preprocessing Based on MapReduce.- Parallel Implementation of Classification Algorithms Based on MapReduce.- Research on Data Processing of RFID Middleware Based on Cloud Computing.- Attribute Reduction for Massive Data Based on Rough Set Theory and MapReduce.- Special Session: Decision-Theoretic Rough Set Model.- Analysis of Rough and Fuzzy Clustering.- Autonomous Knowledge-Oriented Clustering Using Decision-Theoretic Rough Set Theory.- An Attribute Reduction of Rough Set Based on PSO.- Multiple-Category Classification with Decision-Theoretic Rough Sets.- A Multi-agent Decision-Theoretic Rough Set Model.- Naive Bayesian Rough Sets.- Special Session: Quotient Space Theory Research and Application.- Protein Interface Residues Recognition Using Granular Computing Theory.- Application of Quotient Space Theory in Input-Output Relationship Based Combinatorial Testing.- Granular Analysis in Clustering Based on the Theory of Fuzzy Tolerance Quotient Space.- Computing the Point-to-Point Shortest Path: Quotient Space Theory’s Application in Complex Network.- Fuzzy Measures and Granular Computing.- Identifying Protein-Protein Interaction Sites Using Granularity Computing of Quotient Space Theory.- Moving Object Detection Based on Gaussian Mixture Model within the Quotient Space Hierarchical Theory.