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Rough Set and Knowledge Technology : 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings - neues Buch
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Rough Set and Knowledge Technology : 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings - neues Buch
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Rough Set and Knowledge Technology : 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings - neues Buch2010, ISBN: 9783642162480
TheInternationalConferenceonRoughSetandKnowledgeTechnology(RSKT) has been held every year since 2006.RSKT serves as a major forum that brings researchers and industry practitioners togeth… Mehr…
2010
ISBN: 9783642162480
TheInternationalConferenceonRoughSetandKnowledgeTechnology(RSKT) has been held every year since 2006. RSKT serves as a major forum that brings researchers and industry practitioners toget… Mehr…
2010, ISBN: 9783642162480
TheInternationalConferenceonRoughSetandKnowledgeTechnology(RSKT) has been held every year since 2006. RSKT serves as a major forum that brings researchers and industry practitioners toget… Mehr…
2010, ISBN: 9783642162480
TheInternationalConferenceonRoughSetandKnowledgeTechnology(RSKT) has been held every year since 2006. RSKT serves as a major forum that brings researchers and industry practitioners toget… Mehr…
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Detailangaben zum Buch - Rough Set and Knowledge Technology
EAN (ISBN-13): 9783642162480
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2015-12-20T12:51:01+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-09-23T12:46:28+02:00 (Berlin)
ISBN/EAN: 9783642162480
ISBN - alternative Schreibweisen:
978-3-642-16248-0
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Autor des Buches: salvatore, greco, jean philippe, aumasson, casanova
Titel des Buches: china beijing
Daten vom Verlag:
Autor/in: Jian Yu; Salvatore Greco; Pawan Lingras; Guoyin Wang; Andrzej Skowron
Titel: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Rough Set and Knowledge Technology - 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings
Verlag: Springer; Springer Berlin
781 Seiten
Erscheinungsjahr: 2010-10-01
Berlin; Heidelberg; DE
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XVII, 781 p. 178 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Extension; artificial immune system; classification; cognition; computational intelligence; conceptual reduction; data analysis; data warehouse; decision making; decision tree; knowledge discovery; modeling; ontology; proving; supervised learning; C; Artificial Intelligence; Data Mining and Knowledge Discovery; Database Management; Mathematical Logic and Formal Languages; Computation by Abstract Devices; Pattern Recognition; Artificial Intelligence; Data Mining and Knowledge Discovery; Database Management; Formal Languages and Automata Theory; Theory of Computation; Automated Pattern Recognition; Computer Science; Data Mining; Wissensbasierte Systeme, Expertensysteme; Datenbanken; Theoretische Informatik; Mustererkennung; BC
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.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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