Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. Proceedings

✍ Scribed by Andrzej Skowron, Andrzej Jankowski, Roman Swiniarski (auth.), Davide Ciucci, Masahiro Inuiguchi, Yiyu Yao, Dominik Ślęzak, Guoyin Wang (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2013
• Tongue: English
• Leaves: 412
• Series: Lecture Notes in Computer Science 8170
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.

✦ Table of Contents

Front Matter....Pages -
30 Years of Rough Sets and Future Perspectives....Pages 1-10
Multi-granular Computing in Web Age....Pages 11-14
Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models....Pages 15-25
Individual Approximate Clusters: Methods, Properties, Applications....Pages 26-37
Some New Progress in Analyzing and Mining Uncertain and Probabilistic Data for Big Data Analytics....Pages 38-45
Three Approaches to Deal with Inconsistent Decision Tables - Comparison of Decision Tree Complexity....Pages 46-54
Rough Set-Based Information Dilution by Non-deterministic Information....Pages 55-66
Belief Discernibility Matrix and Function for Incremental or Large Data....Pages 67-76
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations....Pages 77-86
Efficient Algorithms for Attribute Reduction on Set-Valued Decision Tables....Pages 87-98
Metric Based Attribute Reduction in Incomplete Decision Tables....Pages 99-110
The Completion Algorithm in Multiple Decision Tables Based on Rough Sets....Pages 111-118
Multi-label Classification Using Rough Sets....Pages 119-126
Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering....Pages 127-137
On Dual Intuitionistic Fuzzy Rough Approximation Operators Determined by an Intuitionistic Fuzzy Implicator....Pages 138-146
Discernibility Matrix Based Attribute Reduction in Intuitionistic Fuzzy Decision Systems....Pages 147-156
A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems....Pages 157-168
Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties....Pages 169-179
OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory....Pages 180-190
Applications of IF Rough Relational Model to Deal with Diabetic Patients....Pages 191-199
Matrix Representation of Parameterised Fuzzy Petri Nets....Pages 200-207
A Mathematical Theory of Fuzzy Numbers....Pages 208-215
Network Performance Analysis Based on Quotient Space Theory....Pages 216-224
Comparative Study between Extension of Covering Approximation Space and Its Induction through Transversal Matroid....Pages 225-235
Multi-covering Based Rough Set Model....Pages 236-244
Boolean Covering Approximation Space and Its Reduction....Pages 245-252
Dynamic Analysis of IVFSs Based on Granularity Computing....Pages 253-260
A Novel MGDM Method Based on Information Granularity under Linguistic Setting....Pages 261-268
The Impacting Analysis on Multiple Species Competition....Pages 269-276
Topological Characterizations for Three Covering Approximation Operators....Pages 277-284
Rough Set Granularity: Scott Systems Approach....Pages 285-292
Incremental Possibilistic K-Modes....Pages 293-303
Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types....Pages 304-314
Rough Clustering Generated by Correlation Clustering....Pages 315-324
Recursive Profiles of Businesses and Reviewers on Yelp.com....Pages 325-336
An Illustrative Comparison of Rough k-Means to Classical Clustering Approaches....Pages 337-344
A Kidnapping Detection Scheme Using Frame-Based Classification for Intelligent Video Surveillance....Pages 345-354
Global Decisions Taking on the Basis of Dispersed Medical Data....Pages 355-365
Soft Clustering to Determine Ambiguous Regions during Medical Images Segmentation....Pages 366-373
Domain Adaptation for Pathologic Oscillations....Pages 374-379
Discernibility in the Analysis of Binary Card Sort Data....Pages 380-387
An Unsupervised Deep-Learning Architecture That Can Reconstruct Paired Images....Pages 388-396
Back Matter....Pages -

✦ Subjects

Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Computation by Abstract Devices; Pattern Recognition