Rough Sets, Fuzzy Sets, Data Mining and Granular Computing : 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 / edited by Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory Butz, Witold Pedrycz.

Format:

Book

Contributor:

An, Aijun, 1964- editor.

Stefanowski, Jerzy, editor.

Ramanna, Sheela, editor.

Butz, Cory, editor.

Pedrycz, Witold, 1953- editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4482.

Lecture Notes in Artificial Intelligence ; 4482

Language:

English

Subjects (All):

Computers.

Artificial intelligence.

Data mining.

Database management.

Logic, Symbolic and mathematical.

Theory of Computation.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Database Management.

Mathematical Logic and Formal Languages.

Computation by Abstract Devices.

Local Subjects:

Theory of Computation.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Database Management.

Mathematical Logic and Formal Languages.

Computation by Abstract Devices.

Physical Description:

1 online resource (XIV, 588 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

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 Incorporated 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.

Contents:

Invited Papers

Toward Rough-Granular Computing

Data Clustering Algorithms for Information Systems

From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery

A New Algorithm for Attribute Reduction in Decision Tables

Fuzzy-Rough Hybridization

Algebraic Properties of Adjunction-Based Fuzzy Rough Sets

Fuzzy Approximation Operators Based on Coverings

Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets

Determining Significance of Attributes in the Unified Rough Set Approach

A Rough-Hybrid Approach to Software Defect Classification

Vaguely Quantified Rough Sets

Fuzzy Sets

A Fuzzy Search Engine Weighted Approach to Result Merging for Metasearch

A Fuzzy Group Decision Approach to Real Option Valuation

Fuzzifying Closure Systems and Fuzzy Lattices

Evolution of Fuzzy System Models: An Overview and New Directions

Retracted Article: A New Cluster Validity Index for Fuzzy Clustering Based on Similarity Measure

A New Classifier Design with Fuzzy Functions

Soft Computing in Medical Image Processing

Image Analysis of Ductal Proliferative Lesions of Breast Using Architectural Features

Nucleus Segmentation and Recognition of Uterine Cervical Pap-Smears

A Study: Segmentation of Lateral Ventricles in Brain MRI Using Fuzzy C-Means Clustering with Gaussian Smoothing

Ischemic Stroke Modeling: Multiscale Extraction of Hypodense Signs

Soft Computing in Information Retrieval

Supporting Literature Exploration with Granular Knowledge Structures

Ordinal Credibility Coefficient - A New Approach in the Data Credibility Analysis

FuzzyPR: An Effective Passage Retrieval System for QAS

Clustering

Parallel Artificial Immune Clustering Algorithm Based on Granular Computing

C-DBSCAN: Density-Based Clustering with Constraints

A New Cluster Based Fuzzy Model Tree for Data Modeling

Parameter Tuning for Disjoint Clusters Based on Concept Lattices with Application to Location Learning

Text and Web Mining

Web Document Classification Based on Rough Set

Transformation of Suffix Arrays into Suffix Trees on the MPI Environment

Clustering High Dimensional Data Using SVM

Learning, Data Mining and Rough Classifiers

Constructing Associative Classifier Using Rough Sets and Evidence Theory

Evaluation Method for Decision Rule Sets

On Possible Rules and Apriori Algorithm in Non-deterministic Information Systems: Part 2

Neonatal Infection Diagnosis Using Constructive Induction in Data Mining

Two Families of Classification Algorithms

Constructing Associative Classifiers from Decision Tables

Evaluating Importance of Conditions in the Set of Discovered Rules

Constraint Based Action Rule Discovery with Single Classification Rules

Data Confidentiality Versus Chase

Relationship Between Loss Functions and Confirmation Measures

High Frequent Value Reduct in Very Large Databases

A Weighted Rough Set Approach for Cost-Sensitive Learning

Jumping Emerging Pattern Induction by Means of Graph Coloring and Local Reducts in Transaction Databases

Visualization of Rough Set Decision Rules for Medical Diagnosis Systems

Attribute Generalization and Fuzziness in Data Mining Contexts

A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM

Granular Computing

Attribute Granules in Formal Contexts

An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model

A Ranking Approach with Inclusion Measure in Multiple-Attribute Interval-Valued Decision Making

Granulations Based on Semantics of Rough Logical Formulas and Its Reasoning

A Categorial Basis for Granular Computing

Granular Sets - Foundations and Case Study of Tolerance Spaces

Soft Computing in Multimedia Processing

Unusual Activity Analysis in Video Sequences

Task-Based Image Annotation and Retrieval

Improvement of Moving Image Quality on AC-PDP by Rough Set Based Dynamic False Contour Reduction

Image Digital Watermarking Technique Based on Kernel Independent Component Analysis

Image Pattern Recognition Using Near Sets

Robotic Target Tracking with Approximation Space-Based Feedback During Reinforcement Learning

Soft Computing Applications

Web Based Health Recommender System Using Rough Sets, Survival Analysis and Rule-Based Expert Systems

RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling

Selecting Samples and Features for SVM Based on Neighborhood Model

Intelligent Decision Support Based on Influence Diagrams with Rough Sets

Object Class Recognition Using SNoW with a Part Vocabulary

Coverage in Biomimetic Pattern Recognition

A Texture-Based Algorithm for Vehicle Area Segmentation Using the Support Vector Machine Method

Rough and Complex Concepts

The Study of Some Important Theoretical Problems for Rough Relational Database

Interval Rough Mereology for Approximating Hierarchical Knowledge

Description Logic Framework for Access Control and Security in Object-Oriented Systems

Rough Neural Networks for Complex Concepts.

Other Format:

Printed edition:

ISBN:

978-3-540-72530-5

9783540725305

Access Restriction:

Restricted for use by site license.