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Rough Sets and Current Trends in Computing

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Inhalt Keynote Talks.- Emergent Dynamics of Information Propagation in Large Networks.- New Applications and Theoretical Foundatio... Weiterlesen
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Beschreibung

Inhalt

Keynote Talks.- Emergent Dynamics of Information Propagation in Large Networks.- New Applications and Theoretical Foundations of the Dominance-based Rough Set Approach.- RSCTC 2010 Discovery Challenge.- RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment.- TunedIT.org: System for Automated Evaluation of Algorithms in Repeatable Experiments.- Clustering.- Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis.- Probabilistic Rough Entropy Measures in Image Segmentation.- Distance Based Fast Hierarchical Clustering Method for Large Datasets.- TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality.- Multimedia and Telemedicine: Soft Computing Applications.- Vehicle Classification Based on Soft Computing Algorithms.- Controlling Computer by Lip Gestures Employing Neural Networks.- Computer Animation System Based on Rough Sets and Fuzzy Logic.- Adaptive Phoneme Alignment Based on Rough Set Theory.- Monitoring Parkinson's Disease Patients Employing Biometric Sensors and Rule-Based Data Processing.- Content-Based Scene Detection and Analysis Method for Automatic Classification of TV Sports News.- Combined Learning Methods and Mining Complex Data.- Combining Multiple Classification or Regression Models Using Genetic Algorithms.- Argument Based Generalization of MODLEM Rule Induction Algorithm.- Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble.- Learning from Imbalanced Data in Presence of Noisy and Borderline Examples.- Tracking Recurrent Concepts Using Context.- Support Feature Machine for DNA Microarray Data.- Is It Important Which Rough-Set-Based Classifier Extraction and Voting Criteria Are Applied Together?.- Improving Co-training with Agreement-Based Sampling.- Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data.- Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data.- Rough Sets: Logical and Mathematical Foundations.- A Fuzzy View on Rough Satisfiability.- Rough Sets in Terms of Discrete Dynamical Systems.- A Preference-Based Multiple-Source Rough Set Model.- Classification of Dynamics in Rough Sets.- Relational Granularity for Hypergraphs.- Perceptual Tolerance Intersection.- Rough Approximations: Foundations and Methodologies.- Categories of Direlations and Rough Set Approximation Operators.- Approximations and Classifiers.- A Note on a Formal Approach to Rough Operators.- Communicative Approximations as Rough Sets.- On the Correctness of Rough-Set Based Approximate Reasoning.- Unit Operations in Approximation Spaces.- Machine Learning: Methodologies and Algorithms.- Weighted Nearest Neighbor Classification via Maximizing Classification Consistency.- Rough Set-Based Incremental Learning Approach to Face Recognition.- A Comparison of Dynamic and Static Belief Rough Set Classifier.- Rule Generation in Lipski's Incomplete Information Databases.- A Fast Randomisation Test for Rule Significance.- Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging.- Learnability in Rough Set Approaches.- Upper Bounds on Minimum Cardinality of Exact and Approximate Reducts.- An Extension of Rough Set Approximation to Flow Graph Based Data Analysis.- Credibility Coefficients Based on SVM.- On Algorithm for Building of Optimal ?-Decision Trees.- Layered Approximation Approach to Knowledge Elicitation in Machine Learning.- Multiagent Systems.- Configuration Management of Mobile Agents Based on SNMP.- Adaptive Immunity-Based Multiagent Systems (AIBMAS) Inspired by the Idiotypic Network.- Distributed Default Logic for Context-Aware Computing in Multi-Agent Systems.- A Novel Approach to Default Reasoning for MAS.- A Platform for the Evaluation of Automated Argumentation Strategies.- Emerging Intelligent Technologies and Net-Centric Applications.- Fuzzy Similarity-Based Relative Importance of MPEG-7 Visual Descriptors for Emotional Classification of Images.- The Impact of Recommendation Sources on the Adoption Intention of Microblogging Based on Dominance-based Rough Set Approach.- Fault Effects Analysis and Reporting System for Dependability Evaluation.- Solving the Reporting Cells Problem Using a Scatter Search Based Algorithm.- Learning Age and Gender Using Co-occurrence of Non-dictionary Words from Stylistic Variations.- Disturbance Measurement Utilization in Easily Reconfigurable Fuzzy Predictive Controllers: Sensor Fault Tolerance and Other Benefits.- Classification and Decision Support Applications.- Biometric-Based Authentication System Using Rough Set Theory.- Classification of Facial Photograph Sorting Performance Based on Verbal Descriptions.- Random Musical Bands Playing in Random Forests.- An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification.- DRSA Decision Algorithm Analysis in Stylometric Processing of Literary Texts.- Blind Music Timbre Source Isolation by Multi- resolution Comparison of Spectrum Signatures.- Rough Sets for Solving Classification Problems in Computational Neuroscience.- Towards Approximate SQL - Infobright's Approach.- A Protein Classifier Based on SVM by Using the Voxel Based Descriptor.- Intelligent Methods in Optimization and Control.- Explicit Neural Network-Based Nonlinear Predictive Control with Low Computational Complexity.- Solution of the Inverse Heat Conduction Problem by Using the ABC Algorithm.- Application of Fuzzy Wiener Models in Efficient MPC Algorithms.- Multicriteria Subjective Reputation Management Model.- Application of Fuzzy Preference Based Rough Set Model to Condition Monitoring.- Graph-Based Optimization Method for Information Diffusion and Attack Durability in Networks.- Granularity and Granular Systems.- Paraconsistent and Approximate Semantics for the OWL 2 Web Ontology Language.- Representation of Granularity for Non-Euclidian Relational Data by Jaccard Coefficients and Binary Classifications.- Information Systems in Modeling Interactive Computations on Granules.- Distributed Representations to Detect Higher Order Term Correlations in Textual Content.

Produktinformationen

Titel: Rough Sets and Current Trends in Computing
Untertitel: 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30, 2010 Proceedings
Editor:
EAN: 9783642135293
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Anzahl Seiten: 771
Veröffentlichung: 26.06.2010
Dateigrösse: 14.3 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Artificial Intelligence"