Rough sets, fuzzy sets, data mining, and granular computing : 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31-September 3, 2005 : proceedings
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書誌事項
Rough sets, fuzzy sets, data mining, and granular computing : 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31-September 3, 2005 : proceedings
（Lecture notes in computer science, 3641-3642 . Lecture notes in artificial intelligence）
Springer, c2005
- pt. 1
- pt. 2
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注記
Includes bibliographical references and index
内容説明・目次
- 巻冊次
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pt. 1 ISBN 9783540286530
内容説明
This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st-September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.
目次
Invited Papers.- Rough Sets and Flow Graphs.- A Modal Characterization of Indiscernibility and Similarity Relations in Pawlak's Information Systems.- Granular Computing with Shadowed Sets.- Rough Set Approximations.- Rough Sets and Higher Order Vagueness.- Approximation in Formal Concept Analysis.- Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments.- New Approach for Basic Rough Set Concepts.- A Partitional View of Concept Lattice.- Characterizations of Attributes in Generalized Approximation Representation Spaces.- Rough-Algebraic Foundations.- Proximity Spaces of Exact Sets.- Rough Group, Rough Subgroup and Their Properties.- Concept Lattices vs. Approximation Spaces.- Rough Sets over the Boolean Algebras.- Algebraic Approach to Generalized Rough Sets.- Logic for Rough Sets with Rough Double Stone Algebraic Semantics.- Feature Selection and Reduction.- On Partial Tests and Partial Reducts for Decision Tables.- The Second Attribute.- Pairwise Cores in Information Systems.- Data Preprocessing and Kappa Coefficient.- Incremental Attribute Reduction Based on Elementary Sets.- Finding Rough Set Reducts with SAT.- Feature Selection with Adjustable Criteria.- Feature Selection Based on Relative Attribute Dependency: An Experimental Study.- Reasoning in Information Systems.- On Consistent and Partially Consistent Extensions of Information Systems.- A New Treatment and Viewpoint of Information Tables.- Incomplete Data and Generalization of Indiscernibility Relation, Definability, and Approximations.- Discernibility Functions and Minimal Rules in Non-deterministic Information Systems.- Studies on Rough Sets in Multiple Tables.- Normalization in a Rough Relational Database.- Rough-Probabilistic Approaches.- Probabilistic Rough Sets.- Variable Precision Bayesian Rough Set Model and Its Application to Human Evaluation Data.- Variable Precision Rough Set Approach to Multiple Decision Tables.- Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets.- Rough Sets Handling Missing Values Probabilistically Interpreted.- The Computational Complexity of Inference Using Rough Set Flow Graphs.- Rough-Fuzzy Hybridization.- Upper and Lower Probabilities of Fuzzy Events Induced by a Fuzzy Set-Valued Mapping.- Variable Precision Fuzzy Rough Sets Model in the Analysis of Process Data.- CRST: A Generalization of Rough Set Theory.- An Extension of Rough Approximation Quality to Fuzzy Classification.- Fuzzy Rules Generation Method for Classification Problems Using Rough Sets and Genetic Algorithms.- Multilayer FLC Design Based on RST.- Fuzzy Methods in Data Analysis.- Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.- A New Feature Weighted Fuzzy Clustering Algorithm.- User-Driven Fuzzy Clustering: On the Road to Semantic Classification.- Evolutionary Computing.- Research on Clone Mind Evolution Algorithm.- A Study on the Global Convergence Time Complexity of Estimation of Distribution Algorithms.- Finding Minimal Rough Set Reducts with Particle Swarm Optimization.- MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge.- Machine Learning.- On Degree of Dependence Based on Contingency Matrix.- Model Selection and Assessment for Classification Using Validation.- Dependency Bagging.- Combination of Metric-Based and Rule-Based Classification.- Combining Classifiers Based on OWA Operators with an Application to Word Sense Disambiguation.- System Health Prognostic Model Using Rough Sets.- Approximate and Uncertain Reasoning.- Live Logic TM : Method for Approximate Knowledge Discovery and Decision Making.- Similarity, Approximations and Vagueness.- Decision Theory = Performance Measure Theory + Uncertainty Theory.- Probabilistic Network Models.- The Graph-Theoretical Properties of Partitions and Information Entropy.- A Comparative Evaluation of Rough Sets and Probabilistic Network Algorithms on Learning Pseudo-independent Domains.- On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks.- Spatial and Temporal Reasoning.- Representing the Process Semantics in the Situation Calculus.- Modeling and Refining Directional Relations Based on Fuzzy Mathematical Morphology.- A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records.- Hierarchical Information Maps.- Non-standard Logics.- Ordered Belief Fusion in Possibilistic Logic.- Description of Fuzzy First-Order Modal Logic Based on Constant Domain Semantics.- Arrow Decision Logic.- Transforming Information Systems.- A Discrete Event Control Based on EVALPSN Stable Model Computation.- Granular Computing.- Tolerance Relation Based Granular Space.- Discernibility-Based Variable Granularity and Kansei Representations.- Rough Set Approximation Based on Dynamic Granulation.- Granular Logic with Closeness Relation and Its Reasoning.- Ontological Framework for Approximation.- Table Representations of Granulations Revisited.
- 巻冊次
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pt. 2 ISBN 9783540286608
内容説明
This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st-September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.
目次
Invited Papers.- Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach.- Approximate Boolean Reasoning Approach to Rough Sets and Data Mining.- Towards Human-Level Web Intelligence.- Rough Set Software.- Credibility Coefficients in ARES Rough Set Exploration System.- DIXER - Distributed Executor for Rough Set Exploration System.- : A Rough Knowledge Base System.- Data Mining.- A Classification Model: Syntax and Semantics for Classification.- "Rule + Exception" Strategies for Knowledge Management and Discovery.- Outlier Detection Using Rough Set Theory.- Reverse Prediction.- Prediction Mining - An Approach to Mining Association Rules for Prediction.- A Rough Set Based Model to Rank the Importance of Association Rules.- Hybrid and Hierarchical Methods.- A Hierarchical Approach to Multimodal Classification.- Rough Learning Vector Quantization Case Generation for CBR Classifiers.- ML-CIDIM: Multiple Layers of Multiple Classifier Systems Based on CIDIM.- Constructing Rough Decision Forests.- Attribute Reduction in Concept Lattice Based on Discernibility Matrix.- Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers.- A Possibilistic Approach to RBFN Centers Initialization.- Information Retrieval.- Intelligent Information Retrieval Based on the Variable Precision Rough Set Model and Fuzzy Sets.- A Comprehensive OWA-Based Framework for Result Merging in Metasearch.- Efficient Pattern Matching of Multidimensional Sequences.- HQC: An Efficient Method for ROLAP with Hierarchical Dimensions.- Knowledge Discovery Based Query Answering in Hierarchical Information Systems.- Image Recognition and Processing.- A Content-Based Image Quality Metric.- A Novel Method of Image Filtering Based on Iterative Fuzzy Control.- Land Cover Classification of IKONOS Multispectral Satellite Data: Neuro-fuzzy, Neural Network and Maximum Likelihood Methods.- Rough Set Approach to Sunspot Classification Problem.- Jacquard Image Segmentation Method Based on Fuzzy Optimization Technology.- Multimedia Applications.- Intelligent Algorithms for Optical Track Audio Restoration.- Multiresolution Pitch Analysis of Talking, Singing, and the Continuum Between.- Toward More Reliable Emotion Recognition of Vocal Sentences by Emphasizing Information of Korean Ending Boundary Tones.- Some Issues on Detecting Emotions in Music.- A Global-Motion Analysis Method via Rough-Set-Based Video Pre-classification.- Analysis and Generation of Emotionally-Charged Animated Gesticulation.- Medical Applications.- Handling Missing Attribute Values in Preterm Birth Data Sets.- Attribute Selection and Rule Generation Techniques for Medical Diagnosis Systems.- Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets and Unsupervised Classification: Application to Leukemia Gene Expressions.- A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts.- Bioinformatic Applications.- Analysis of Gene Expression Data: Application of Quantum-Inspired Evolutionary Algorithm to Minimum Sum-of-Squares Clustering.- An Open Source Microarray Data Analysis System with GUI: Quintet.- Similarity Index for Clustering DNA Microarray Data Based on Multi-weighted Neuron.- Screening for Ortholog Clusters Using Multipartite Graph Clustering by Quasi-Concave Set Function Optimization.- An Ontology-Based Pattern Mining System for Extracting Information from Biological Texts.- Parallel Prediction of Protein-Protein Interactions Using Proximal SVM.- Identification of Transcription Factor Binding Sites Using Hybrid Particle Swarm Optimization.- A Grid Computing-Based Monte Carlo Docking Simulations Approach for Computational Chiral Discrimination.- Web Content Analysis.- Web Mining of Preferred Traversal Patterns in Fuzzy Environments.- Discovering Characteristic Individual Accessing Behaviors in Web Environment.- An Efficient and Practical Algorithm for the Many-Keyword Proximity Problem by Offsets.- Business Applications.- Simplifying the Manager Competency Model by Using the Rough Set Approach.- Financial Risk Prediction Using Rough Sets Tools: A Case Study.- Using Rough Set and Worst Practice DEA in Business Failure Prediction.- Security Applications.- Intrusion Detection System Based on Multi-class SVM.- A Development of Intrusion Detection and Protection System Using Netfilter Framework.- A Group Decision-Making Model of Risk Evasion in Software Project Bidding Based on VPRS.- Research on Risk Probability Estimating Using Fuzzy Clustering for Dynamic Security Assessment.- Ensuring Data Security Against Knowledge Discovery in Distributed Information Systems.- A Scheme for Inference Problems Using Rough Sets and Entropy.- Towards New Areas of Security Engineering.- Industrial Applications.- Application of Variable Precision Rough Set Model and Neural Network to Rotating Machinery Fault Diagnosis.- Integration of Variable Precision Rough Set and Fuzzy Clustering: An Application to Knowledge Acquisition for Manufacturing Process Planning.- An Obstacle Avoidance Technique for AUVs Based on BK-Product of Fuzzy Relations.- SVR-Based Method Forecasting Intermittent Demand for Service Parts Inventories.- Fuzzy Forecast Modeling for Gas Furnace Based on Fuzzy Sets and Rough Sets Theory.- Embedded Systems and Networking.- Flexible Quality-of-Control Management in Embedded Systems Using Fuzzy Feedback Scheduling.- Improvement of Multicast Routing Protocol Using Petri Nets.- An Efficient Bandwidth Management Scheme for a Hard Real-Time Fuzzy Control System Based on the Wireless LAN.- Application of Rough Set for Routing Selection Based on OSPF Protocol.- Energy Aware Routing with Dynamic Probability Scaling.- Application of (Max, +)-Algebra to the Optimal Buffer Size in Poisson Driven Deterministic Queues in Series with Blocking.- Uncertainty Handling in Tabular-Based Requirements Using Rough Sets.- Intelligent and Sapient Systems.- Behavioral Pattern Identification Through Rough Set Modelling.- Selecting Attributes for Soft-Computing Analysis in Hybrid Intelligent Systems.- Brain Signals: Feature Extraction and Classification Using Rough Set Methods.- On the Design and Operation of Sapient (Wise) Systems.- Three Steps to Robo Sapiens.
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