Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (häftad)
Häftad (Paperback / softback)
Antal sidor
2005 ed.
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Slezak, Domonik (ed.), Yao, JingTao (ed.), Peters, James F. (ed.), Ziarko, Wojciech (ed.), Hu, Xiaohua (ed.)
XXIV, 748 p.
234 x 156 x 39 mm
1058 g
Antal komponenter
1 Paperback / softback
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (häftad)

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II

Häftad Engelska, 2005-08-01
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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.
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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.-