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ORCID15. RSFDGrC 2015: Tianjin, China
- Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse:
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings. Lecture Notes in Computer Science 9437, Springer 2015, ISBN 978-3-319-25782-2
Rough Sets: The Experts Speak
- Jiye Liang
:
Decision-Oriented Rough Set Methods. 3-12 - Dominik Slezak:
On Generalized Decision Functions: Reducts, Networks and Ensembles. 13-23 - Shusaku Tsumoto, Shoji Hirano:
Formalization of Medical Diagnostic Rules. 24-35 - Guoyin Wang, Ji Xu, Qinghua Zhang, Yuchao Liu:
Multi-granularity Intelligent Information Processing. 36-48 - Ning Zhong, Jiajin Huang:
Granular Structures Induced by Interval Sets and Rough Sets. 49-60
Generalized Rough Sets
- Jerzy Blaszczynski, Yoshifumi Kusunoki, Masahiro Inuiguchi, Roman Slowinski:
Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach. 63-72 - Shen-Ming Gu, Ya-Hong Wan, Wei-Zhi Wu, Tong-Jun Li:
Rough Set Approximations in Multi-scale Interval Information Systems. 73-81 - Caihui Liu, Meizhi Wang, Yanfei Dai, Yueli Luo:
A New Subsystem-Based Definition of Generalized Rough Set Model. 82-89 - Yanfang Liu, William Zhu:
A Comparison of Two Types of Covering-Based Rough Sets Through the Complement of Coverings. 90-101 - Keyun Qin, Bo Li:
On the Nearness Measures of Near Sets. 102-111 - Mauricio Restrepo, Jonatan Gómez:
Topological Properties for Approximation Operators in Covering Based Rough Sets. 112-123
Rough Sets and Graphs
- Giampiero Chiaselotti, Davide Ciucci, Tommaso Gentile, Federico Infusino:
Preclusivity and Simple Graphs. 127-137 - Giampiero Chiaselotti, Davide Ciucci, Tommaso Gentile, Federico Infusino:
Preclusivity and Simple Graphs: The n-cycle and n-path Cases. 138-148 - Hui Li, William Zhu:
Connectedness of Graph and Matroid by Covering-Based Rough Sets. 149-160 - Yunyun Yang, Gang Xie, Zehua Chen:
Controllability in Directed Complex Networks: Granular Computing Perspective. 161-169
Rough and Fuzzy Hybridization
- Yanyong Huang, Tianrui Li, Shi-Jinn Horng:
Dynamic Maintenance of Rough Fuzzy Approximations with the Variation of Objects and Attributes. 173-184 - Richard Jensen, Sarah Vluymans, Neil Mac Parthaláin, Chris Cornelis, Yvan Saeys:
Semi-Supervised Fuzzy-Rough Feature Selection. 185-195 - Zbigniew Suraj:
Modified Generalised Fuzzy Petri Nets for Rule-Based Systems. 196-206 - Xiaoxue Wang, Shuang An, Hong Shi, Qinghua Hu:
Fuzzy Rough Decision Trees for Multi-label Classification. 207-217 - Wei-Zhi Wu, You-Hong Xu, Tong-Jun Li, Xia Wang:
Axiomatic Characterizations of Reflexive and T T -Transitive I I -Intuitionistic Fuzzy Rough Approximation Operators. 218-229
Granular Computing
- Kao-Yi Shen, Gwo-Hshiung Tzeng:
Knowledge Supported Refinements for Rough Granular Computing: A Case of Life Insurance Industry. 233-244 - Marcin S. Szczuka, Andrzej Jankowski, Andrzej Skowron, Dominik Slezak:
Building Granular Systems - from Concepts to Applications. 245-255 - Jacek Szypulski, Piotr Artiemjew:
The Rough Granular Approach to Classifier Synthesis by Means of SVM. 256-263
Data Mining and Machine Learning
- Piotr Artiemjew:
The Boosting and Bootstrap Ensemble for Classifiers Based on Weak Rough Inclusions. 267-277 - Na Jiao:
Extraction of Off-Line Handwritten Characters Based on a Soft K-Segments for Principal Curves. 278-285 - Xiangping Kang, Duoqian Miao, Na Jiao:
A Knowledge Acquisition Model Based on Formal Concept Analysis in Complex Information Systems. 286-297 - Malgorzata Przybyla-Kasperek:
The Borda Count, the Intersection and the Highest Rank Method in a Dispersed Decision-Making System. 298-309 - Seiki Ubukata, Taro Miyazaki, Akira Notsu, Katsuhiro Honda, Masahiro Inuiguchi:
An Ensemble Learning Approach Based on Missing-Valued Tables. 310-321 - Yuan-Ting Yan, Yan-Ping Zhang, Xiu-Quan Du:
Multiple-Side Multiple-Learner for Incomplete Data Classification. 322-331 - Wenyuan Yang, Bufang Zhou, William Zhu:
Sparse Matrix Feature Selection in Multi-label Learning. 332-339 - Weibin Zhao, Mengting Xu, Xiuyi Jia, Lin Shang:
A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm. 340-351
Three-Way Decisions
- Guoshun Huang, Yiyu Yao:
Region Vector Based Attribute Reducts in Decision-Theoretic Rough Sets. 355-365 - Xiuyi Jia, Lin Shang:
How to Evaluate Three-Way Decisions Based Binary Classification? 366-375 - Hengrong Ju, Xibei Yang, Pei Yang, Huaxiong Li, Xianzhong Zhou:
A Moderate Attribute Reduction Approach in Decision-Theoretic Rough Set. 376-388 - Yangyang Liu, Jiucheng Xu, Lin Sun, Lina Du:
Decisions Tree Learning Method Based on Three-Way Decisions. 389-400 - WenBin Pei, He Lin, Li Li:
Multi-decision-makers-based Monotonic Variable Consistency Rough Set Approach with Multiple Attributes and Criteria. 401-413 - Yan Zhang, Jingtao Yao:
Determining Three-Way Decision Regions by Combining Gini Objective Functions and GTRS. 414-425
IJCRS 2015 Data Challenge
- Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak:
Mining Data from Coal Mines: IJCRS'15 Data Challenge. 429-438 - Marc Boullé:
Prediction of Methane Outbreak in Coal Mines from Historical Sensor Data under Distribution Drift. 439-451 - Marek Grzegorowski, Sebastian Stawicki:
Window-Based Feature Engineering for Prediction of Methane Threats in Coal Mines. 452-463 - Petre Lameski, Eftim Zdravevski, Riste Mingov, Andrea Kulakov:
SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting. 464-474 - Krzysztof Pawlowski, Karol Kurach:
Detecting Methane Outbreaks from Time Series Data with Deep Neural Networks. 475-484 - Dymitr Ruta, Ling Cen:
Self-Organized Predictor of Methane Concentration Warnings in Coal Mines. 485-493 - Adam Zagorecki:
Prediction of Methane Outbreaks in Coal Mines from Multivariate Time Series Using Random Forest. 494-500
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