dblp: 15. RSFDGrC 2015: Tianjin, China (original) (raw)



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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

Mauricio Restrepo
, Jonatan Gómez:
Topological Properties for Approximation Operators in Covering Based Rough Sets. 112-123
Rough Sets and Graphs
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
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

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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