Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007Aijun An Springer Science & Business Media, 2007. gada 27. apr. - 585 lappuses This volume contains the papers selected for presentation at the 11th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGrC 2007), a part of the Joint Rough Set Symposium (JRS 2007) organized by Infobright Inc. and York University. JRS 2007 was held for the ?rst time during May 14–16, 2007 in MaRS Discovery District, Toronto, Canada. It consisted of two conferences: RSFDGrC 2007 and the Second Int- national Conference on Rough Sets and Knowledge Technology (RSKT 2007). The two conferences that constituted JRS 2007 investigated rough sets as an emerging methodology established more than 25 years ago by Zdzis law Pawlak. Roughsettheoryhasbecomeanintegralpartofdiversehybridresearchstreams. In keeping with this trend, JRS 2007 encompassed rough and fuzzy sets, kno- edgetechnologyanddiscovery,softandgranularcomputing,dataprocessingand mining, while maintaining an emphasis on foundations and applications. RSFDGrC 2007 followed in the footsteps of well-established international initiatives devoted to the dissemination of rough sets research, held so far in Canada, China, Japan, Poland, Sweden, and the USA. RSFDGrC was ?rst - ganized as the 7th International Workshop on Rough Sets, Data Mining and Granular Computing held in Yamaguchi, Japan in 1999. Its key feature was to stress the role of integrating intelligent information methods to solve real-world, large, complex problems concerned with uncertainty and fuzziness. RSFDGrC achieved the status of a bi-annual international conference, starting from 2003 in Chongqing, China. |
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Saturs
Toward RoughGranular Computing | 1 |
Data Clustering Algorithms for Information Systems | 13 |
From Parallel Data Mining to GridEnabled Distributed Knowledge Discovery | 25 |
A New Algorithm for Attribute Reduction in Decision Tables | 37 |
Algebraic Properties of AdjunctionBased Fuzzy Rough Sets | 47 |
Fuzzy Approximation Operators Based on Coverings | 55 |
InformationTheoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets | 63 |
Determining Significance of Attributes in the Unified Rough Set Approach | 71 |
Constructing Associative Classifiers from Decision Tables | 305 |
Evaluating Importance of Conditions in the Set of Discovered Rules | 314 |
Constraint Based Action Rule Discovery with Single Classification Rules | 322 |
Data Confidentiality Versus Chase | 330 |
Relationship Between Loss Functions and Confirmation Measures | 338 |
High Frequent Value Reduct in Very Large Databases | 346 |
A Weighted Rough Set Approach for CostSensitive Learning | 355 |
Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases | 363 |
A RoughHybrid Approach to Software Defect Classification | 79 |
Vaguely Quantified Rough Sets | 87 |
A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch | 95 |
A Fuzzy Group Decision Approach to Real Option Valuation | 103 |
Fuzzifying Closure Systems and Fuzzy Lattices | 111 |
An Overview and New Directions | 119 |
A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure | 127 |
A New Classifier Design with Fuzzy Functions | 136 |
Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features | 144 |
Nucleus Segmentation and Recognition of Uterine Cervical PapSmears | 153 |
Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy CMeans Clustering with Gaussian Smoothing | 161 |
Multiscale Extraction of Hypodense Signs | 171 |
Supporting Literature Exploration with Granular Knowledge Structures | 182 |
Ordinal Credibility Coefficient A New Approach in the Data Credibility Analysis | 190 |
An Effective Passage Retrieval System for QAS | 199 |
Parallel Artificial Immune Clustering Algorithm Based on Granular Computing | 208 |
DensityBased Clustering with Constraints | 216 |
A New Cluster Based Fuzzy Model Tree for Data Modeling | 224 |
Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Location Learning | 232 |
Web Document Classification Based on Rough Set | 240 |
Transformation of Suffix Arrays into Suffix Trees on the MPI Environment | 248 |
Clustering High Dimensional Data Using SVM | 256 |
Constructing Associative Classifier Using Rough Sets and Evidence Theory | 263 |
Evaluation Method for Decision Rule Sets | 272 |
Part 2 | 280 |
Neonatal Infection Diagnosis Using Constructive Induction in Data Mining | 289 |
Two Families of Classification Algorithms | 297 |
Visualization of Rough Set Decision Rules for Medical Diagnosis Systems | 371 |
Attribute Generalization and Fuzziness in Data Mining Contexts | 379 |
A Hybrid Method for Forecasting Stock Market Trend Using SoftThresholding Denoise Model and SVM | 387 |
Attribute Granules in Formal Contexts | 395 |
An Incremental Updating Algorithm for Core Computing in DominanceBased Rough Set Model | 403 |
A Ranking Approach with Inclusion Measure in MultipleAttribute IntervalValued Decision Making | 411 |
Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning | 419 |
A Categorial Basis for Granular Computing | 427 |
Granular Sets Foundations and Case Study of Tolerance Spaces | 435 |
Unusual Activity Analysis in Video Sequences | 443 |
TaskBased Image Annotation and Retrieval | 451 |
Improvement of Moving Image Quality on ACPDP by Rough Set Based Dynamic False Contour Reduction | 459 |
Image Digital Watermarking Technique Based on Kernel Independent Component Analysis | 467 |
Image Pattern Recognition Using Near Sets | 475 |
Robotic Target Tracking with Approximation SpaceBased Feedback During Reinforcement Learning | 483 |
Web Based Health Recommender System Using Rough Sets Survival Analysis and RuleBased Expert Systems | 491 |
Application to Time Series Modeling | 500 |
Selecting Samples and Features for SVM Based on Neighborhood Model | 508 |
Intelligent Decision Support Based on Influence Diagrams with Rough Sets | 518 |
Object Class Recognition Using SNoW with a Part Vocabulary | 526 |
Coverage in Biomimetic Pattern Recognition | 534 |
A TextureBased Algorithm for Vehicle Area Segmentation Using the Support Vector Machine Method | 542 |
The Study of Some Important Theoretical Problems for Rough Relational Database | 550 |
Interval Rough Mereology for Approximating Hierarchical Knowledge | 557 |
Description Logic Framework for Access Control and Security in ObjectOriented Systems | 565 |
Rough Neural Networks for Complex Concepts | 574 |
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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th ... Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz Ierobežota priekšskatīšana - 2007 |
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th ... Aijun An,Jerzy Stefanowski,Sheela Ramanna,Cory Butz,Witold Pedrycz Ierobežota priekšskatīšana - 2007 |
Bieži izmantoti vārdi un frāzes
accuracy action algorithm analysis applications approach approximation associated assume attribute calculated called classification cluster coefficients combination compared complex computing concept condition considered consistent construction contains cost credibility data mining data set database decision rules decision table defined denoted described different distance distributed document domain elements Engineering evaluation example experiments extracted formal function fuzzy sets given granular granules important inclusion information system input Intelligence International introduced knowledge lattice learning logic lower Machine matrix means measure membership method networks neural node objects obtained operators optimal parameter partition pattern performance points possible presented problem properties proposed reasoning reduction References relation represented respectively rough set rough set theory rules samples Science selected similarity space Step structure subset t-norm techniques transformed tree University vector weights