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ORCID14th RSFDGrC 2013: Halifax, NS, Canada
- Davide Ciucci
, Masahiro Inuiguchi, Yiyu Yao, Dominik Slezak, Guoyin Wang:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. Proceedings. Lecture Notes in Computer Science 8170, Springer 2013, ISBN 978-3-642-41217-2
Invited Keynote Lectures
- Andrzej Skowron, Andrzej Jankowski, Roman W. Swiniarski:
30 Years of Rough Sets and Future Perspectives. 1-10 - Bo Zhang, Ling Zhang:
Multi-granular Computing in Web Age. 11-14 - Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie:
Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models. 15-25 - Boris G. Mirkin:
Individual Approximate Clusters: Methods, Properties, Applications. 26-37 - Jian Pei:
Some New Progress in Analyzing and Mining Uncertain and Probabilistic Data for Big Data Analytics. 38-45
Inconsistency, Incompleteness, Non-Determinism
- Mohammad Azad, Igor Chikalov, Mikhail Moshkov:
Three Approaches to Deal with Inconsistent Decision Tables - Comparison of Decision Tree Complexity. 46-54 - Hiroshi Sakai, Mao Wu, Naoto Yamaguchi, Michinori Nakata:
Rough Set-Based Information Dilution by Non-deterministic Information. 55-66 - Salsabil Trabelsi, Zied Elouedi, Pawan Lingras:
Belief Discernibility Matrix and Function for Incremental or Large Data. 67-76 - Patrick G. Clark, Jerzy W. Grzymala-Busse:
An Experimental Comparison of Three Interpretations of Missing Attribute Values Using Probabilistic Approximations. 77-86 - Sinh Hoa Nguyen, Thi Thu Hien Phung:
Efficient Algorithms for Attribute Reduction on Set-Valued Decision Tables. 87-98 - Long Giang Nguyen, Hung Son Nguyen:
Metric Based Attribute Reduction in Incomplete Decision Tables. 99-110 - Na Jiao:
The Completion Algorithm in Multiple Decision Tables Based on Rough Sets. 111-118 - Ying Yu, Duoqian Miao, Zhifei Zhang, Lei Wang:
Multi-label Classification Using Rough Sets. 119-126
Fuzzy and Rough Hybridization
- Manish R. Joshi, Pawan Lingras:
Enhancing Rough Clustering with Outlier Detection Based on Evidential Clustering. 127-137 - Wei-Zhi Wu, Cang-Jian Gao, Tong-Jun Li, You-Hong Xu:
On Dual Intuitionistic Fuzzy Rough Approximation Operators Determined by an Intuitionistic Fuzzy Implicator. 138-146 - Qinrong Feng, Rui Li:
Discernibility Matrix Based Attribute Reduction in Intuitionistic Fuzzy Decision Systems. 147-156 - Anping Zeng, Tianrui Li, Chuan Luo, Junbo Zhang, Yan Yang:
A Fuzzy Rough Set Approach for Incrementally Updating Approximations in Hybrid Information Systems. 157-168 - Lynn D'eer, Nele Verbiest, Chris Cornelis, Lluís Godo:
Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties. 169-179 - Nele Verbiest, Chris Cornelis, Francisco Herrera:
OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory. 180-190 - Chhaya Gangwal, Rabi Nanda Bhaumik, Shishir Kumar:
Applications of IF Rough Relational Model to Deal with Diabetic Patients. 191-199 - Zbigniew Suraj:
Matrix Representation of Parameterised Fuzzy Petri Nets. 200-207 - Tsau Young Lin:
A Mathematical Theory of Fuzzy Numbers - Granular Computing Approach. 208-215
Granular Computing and Covering-Based Rough Sets
- Ling Zhang, Yuan-Ting Yan, Shu Zhao, Yanping Zhang:
Network Performance Analysis Based on Quotient Space Theory. 216-224 - Yanfang Liu, William Zhu:
Comparative Study between Extension of Covering Approximation Space and Its Induction through Transversal Matroid. 225-235 - Lijuan Wang, Xibei Yang, Chen Wu:
Multi-covering Based Rough Set Model. 236-244 - Tong-Jun Li, Wei-Zhi Wu:
Boolean Covering Approximation Space and Its Reduction. 245-252 - Danqing Xu, Yanan Fu, Junjun Mao:
Dynamic Analysis of IVFSs Based on Granularity Computing. 253-260 - Yanan Fu, Danqing Xu, Junjun Mao:
A Novel MGDM Method Based on Information Granularity under Linguistic Setting. 261-268 - Han-Bing Yan, Xu-Qing Tang:
The Impacting Analysis on Multiple Species Competition. 269-276 - Aiping Huang, William Zhu:
Topological Characterizations for Three Covering Approximation Operators. 277-284 - Marcin Wolski, Anna Gomolinska:
Rough Set Granularity: Scott Systems Approach. 285-292
Soft Clustering
- Asma Ammar, Zied Elouedi, Pawan Lingras:
Incremental Possibilistic K-Modes. 293-303 - Andrzej Janusz, Adam Krasuski, Marcin S. Szczuka:
Improving Semantic Clustering of EWID Reports by Using Heterogeneous Data Types. 304-314 - László Aszalós, Tamás Mihálydeák:
Rough Clustering Generated by Correlation Clustering. 315-324 - Matthew Triff, Pawan Lingras:
Recursive Profiles of Businesses and Reviewers on Yelp.com. 325-336 - Georg Peters, Fernando A. Crespo:
An Illustrative Comparison of Rough k-Means to Classical Clustering Approaches. 337-344
Image and Medical Data Analysis
- Ryu-Hyeok Gwon, Kyoung-Yeon Kim, Jin-Tak Park, Hakill Kim, Yoo-Sung Kim:
A Kidnapping Detection Scheme Using Frame-Based Classification for Intelligent Video Surveillance. 345-354 - Malgorzata Przybyla-Kasperek, Alicja Wakulicz-Deja:
Global Decisions Taking on the Basis of Dispersed Medical Data. 355-365 - Manish R. Joshi, Monica Mundada:
Soft Clustering to Determine Ambiguous Regions during Medical Images Segmentation. 366-373 - Rory A. Lewis, Chad A. Mello, James Ellenberger, Andrew M. White:
Domain Adaptation for Pathologic Oscillations. 374-379 - Daryl H. Hepting, Emad H. Almestadi:
Discernibility in the Analysis of Binary Card Sort Data. 380-387 - Ti Wang, Mohammed Shameer Iqbal, Daniel L. Silver:
An Unsupervised Deep-Learning Architecture That Can Reconstruct Paired Images. 388-396
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