6. RSKT 2011: Banff, Canada

Keynote Papers

• Jerzy W. Grzymala-Busse:
  Mining Incomplete Data - A Rough Set Approach. 1-7
  
• Jiye Liang:
  Uncertainty and Feature Selection in Rough Set Theory. 8-15
  
• Witold Pedrycz:
  Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades. 16
  
• James F. Peters:
  Sufficiently Near Sets of Neighbourhoods. 17-24
  

Invited Tutorial

• Sarjerao Nimse, Pawan Lingras:
  History of Set Theory and Its Extensions in the Context of Soft Computing. 25
  

Attribute Reduction and Feature Selection

• Eduard Bartl, Hana Rezanková, Lukas Sobisek:
  Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept Analysis. 26-35
  
• Jerzy Blaszczynski, Roman Slowinski, Robert Susmaga:
  Rule-Based Estimation of Attribute Relevance. 36-44
  
• Andrzej Janusz, Sebastian Stawicki:
  Applications of Approximate Reducts to the Feature Selection Problem. 45-50
  
• Tong-Jun Li, Ying-Xue Wu, Xiao-Ping Yang:
  Dependence and Algebraic Structure of Formal Contexts. 51-56
  
• Fan Min, William Zhu:
  Optimal Sub-Reducts with Test Cost Constraint. 57-62
  
• Yuhua Qian, Chao Li, Jiye Liang:
  An Efficient Fuzzy-Rough Attribute Reduction Approach. 63-70
  
• Mingwen Shao, Li Guo, Lan Li:
  A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice. 71-80
  
• Dominik Slezak, Sebastian Widz:
  Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule Aggregation. 81-88
  
• Mariusz Wrzesien, Wieslaw Paja, Krzysztof Pancerz:
  A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees. 89-94
  
• Feifei Xu, Weiguo Pan, Lai Wei, Haizhou Du:
  An Efficient Fuzzy Rough Approach for Feature Selection. 95-100
  
• Yiyu Yao, Rong Fu:
  Partitions, Coverings, Reducts and Rule Learning in Rough Set Theory. 101-109
  
• Lin Zhou, Feng Jiang:
  A Rough Set Approach to Feature Selection Based on Relative Decision Entropy. 110-119
  

Generalized Rough Set Models

• Xinwei Zheng, Jian-Hua Dai:
  A Variable Precision Covering Generalized Rough Set Model. 120-125
  
• Salvatore Greco, Benedetto Matarazzo, Roman Slowinski:
  Dominance-Based Rough Set Approach on Pairwise Comparison Tables to Decision Involving Multiple Decision Makers. 126-135
  
• Jerzy W. Grzymala-Busse:
  Generalized Parameterized Approximations. 136-145
  
• Shiping Wang, William Zhu, Fan Min:
  Transversal and Function Matroidal Structures of Covering-Based Rough Sets. 146-155
  
• Wei-Zhi Wu, Yu-Fang Yang, You-Hong Xu:
  Some Fuzzy Topologies Induced by Rough Fuzzy Sets. 156-165
  
• Junbo Zhang, Tian-rui Li, Yan Yang, Lei Wang:
  Neighborhood Rough Sets Based Matrix Approach for Calculation of the Approximations. 166-171
  

Machine Learning with Rough and Hybrid Techniques

• Shuang An, Qinghua Hu, Daren Yu:
  Case-Based Classifiers with Fuzzy Rough Sets. 172-177
  
• Abdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov:
  Comparison of Greedy Algorithms for α-Decision Tree Construction. 178-186
  
• Abdulaziz Alkhalid, Igor Chikalov, Mikhail Moshkov:
  Constructing an Optimal Decision Tree for FAST Corner Point Detection. 187-194
  
• P. S. V. S. Sai Prasad, K. Hima Bindu, C. Raghavendra Rao:
  Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct. 195-200
  
• Masahiro Inuiguchi, Masahiko Tsuji, Yoshifumi Kusunoki, Masayo Tsurumi:
  LEM2-Based Rule Induction from Data Tables with Imprecise Evaluations. 201-207
  
• Fan Li, Qihe Liu:
  An Extension to Rough c-Means Clustering. 208-216
  
• Tonny Rutayisire, Yan Yang, Chao Lin, Jinyuan Zhang:
  A Modified Cop-Kmeans Algorithm Based on Sequenced Cannot-Link Set. 217-225
  
• Hiroshi Sakai, Michinori Nakata, Dominik Slezak:
  A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data. 226-231
  
• Roman Siminski, Agnieszka Nowak-Brzezinska, Tomasz Jach, Tomasz Xieski:
  Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases. 232-237
  
• Zbigniew Suraj, Piotr Grochowalski, Lukasz Lew:
  Discovering Patterns of Collaboration in Rough Set Research: Statistical and Graph-Theoretical Approach. 238-247
  

Knowledge Technology

• Hidenao Abe, Shusaku Tsumoto:
  Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets. 248-257
  
• Radim Belohlávek, Lucie Urbanova, Vilém Vychodil:
  Similarity of Query Results in Similarity-Based Databases. 258-267
  
• Praveen Ganghishetti, Rajeev Wankar, Rafah M. Almuttairi, C. Raghavendra Rao:
  Rough Set Based Quality of Service Design for Service Provisioning in Clouds. 268-273
  
• Lijian He, Houkuan Huang, Xingye Dong:
  GTrust: A Distributed Trust Model in Multi-Agent Systems Based on Grey System Theory. 274-279
  
• Masahiro Inuiguchi, Tatsuya Higuchi, Masayo Tsurumi:
  Linear Necessity Measures and Their Applications to Possibilistic Linear Programming. 280-289
  
• Ryszard Janicki, Yun Zhai:
  Remarks on Pairwise Comparison Numerical and Non-numerical Rankings. 290-300
  
• Huaiyu Wan, Youfang Lin, Caiyan Jia, Houkuan Huang:
  Community-Based Relational Markov Networks in Complex Networks. 301-310
  

Intelligent Systems and Applications

• Luis Henrique Almeida, Plácido Rogério Pinheiro, Adriano Bessa Albuquerque:
  Applying Multi-Criteria Decision Analysis to Global Software Development with Scrum Project Planning. 311-320
  
• Rafal Deja:
  Accuracy Evaluation of the System of Type 1 Diabetes Prediction. 321-326
  
• Yong Du, Qinghua Hu, Peijun Ma, Xiaohong Su:
  Driver Status Recognition by Neighborhood Covering Rules. 327-336
  
• Abdolreza Hatamlou, Salwani Abdullah, Hossein Nezamabadi-pour:
  Application of Gravitational Search Algorithm on Data Clustering. 337-346
  
• Wenjing Li, Jia Qiu, Zhaocong Wu, Zhiyong Lin, Shaoning Li:
  Application of Rough Sets in GIS Generalization. 347-353
  
• Shuang Liu, Lijun Sun, Yurong Guo, Jialin Gao, Lei Liu:
  Application of Rough Set Theory for Evaluating Polysaccharides Extraction. 354-359
  
• Umadevi Maramreddy, Arun Agarwal, C. Raghavendra Rao:
  Identification of Print Technology Based on Homogeneous Regions of Image. 360-365
  
• Krzysztof Pancerz, Arkadiusz Lewicki, Ryszard Tadeusiewicz, Jerzy Gomula:
  Ant Based Clustering of MMPI Data - An Experimental Study. 366-375
  
• Hamid Parvin, Behrouz Minaei-Bidgoli, Hosein Alizadeh:
  Detection of Cancer Patients Using an Innovative Method for Learning at Imbalanced Datasets. 376-381
  
• Shusaku Tsumoto, Shoji Hirano:
  Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach. 382-387
  
• Omar S. Soliman, Aboul Ella Hassanien, Neveen I. Ghali, Nashwa El-Bendary, Ruhul A. Sarker:
  A Model-Based Decision Support Tool Using Fuzzy Optimization for Climate Change. 388-393
  
• Marcin S. Szczuka, Andrzej Janusz, Kamil Herba:
  Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia. 394-403
  
• Marcin Szelag, Salvatore Greco, Jerzy Blaszczynski, Roman Slowinski:
  Case-Based Reasoning Using Dominance-Based Decision Rules. 404-413
  
• Zbigniew Suraj, Piotr Grochowalski:
  RoSetOn: The Open Project for Ontology of Rough Sets and Related Fields. 414-419
  
• Jyoti Y. Yadav, Vilas Kharat, Ashok Deshpande:
  Fuzzy Description of Air Quality: A Case Study. 420-427
  
• Yong Yang, Kan Tian, Zhengrong Chen:
  A Robust Face Recognition Method Based on AdaBoost, EHMM and Sample Perturbation. 428-433
  
• Xiaodong Yue, Duoqian Miao, Yufei Chen, Hongzhong Chen:
  Roughness Approach to Color Image Segmentation through Smoothing Local Difference. 434-439
  
• Lei Zhou:
  On Local Inclusion Degree of Intuitionistic Fuzzy Sets. 440-446
  

Special Session: Decision-Theoretic Rough Set Model

• Joseph P. Herbert, Jingtao Yao:
  Analysis of Data-Driven Parameters in Game-Theoretic Rough Sets. 447-456
  
• Xiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen:
  An Optimization Viewpoint of Decision-Theoretic Rough Set Model. 457-465
  
• Huaxiong Li, Xianzhong Zhou, Jiabao Zhao, Dun Liu:
  Attribute Reduction in Decision-Theoretic Rough Set Model: A Further Investigation. 466-475
  
• Dun Liu, Tian-rui Li, Decui Liang:
  A New Discriminant Analysis Approach under Decision-Theoretic Rough Sets. 476-485
  
• Mikhail Moshkov, Beata Zielosko:
  Construction of α-Decision Trees for Tables with Many-Valued Decisions. 486-494
  
• Xiao-Ping Yang, Haiguang Song, Tong-Jun Li:
  Decision Making in Incomplete Information System Based on Decision-Theoretic Rough Sets. 495-503
  
• Hong Yu, Zhanguo Liu, Guoyin Wang:
  Automatically Determining the Number of Clusters Using Decision-Theoretic Rough Set. 504-513
  
• Bing Zhou:
  A New Formulation of Multi-category Decision-Theoretic Rough Sets. 514-522
  

Special Session: Near Sets

• Christopher J. Henry, Sheela Ramanna:
  Parallel Computation in Finding Near Neighbourhoods. 523-532
  
• James F. Peters, Maciej Borkowski:
  ε-Near Collections. 533-542
  
• Leszek Puzio, James F. Peters:
  Nearness of Subtly Different Digital Images. 543-552
  
• Lidong Wang, Xiaodong Liu, Xiaojuan Tian:
  A Generalization of Near Set Model. 553-558
  
• Marcin Wolski:
  Gauges, Pregauges and Completions: Some Theoretical Aspects of Near and Rough Set Approaches to Data. 559-568
  

Special Session: Quotient Space Theory

• Fu-gui He, Yanping Zhang, Jie Chen, Ling Zhang:
  Path Queries on Massive Graphs Based on Multi-granular Graph Partitioning. 569-578
  
• Lei Wu, Longshu Li:
  A Minimal Test Suite Generation Method Based on Quotient Space Theory. 579-584
  
• Chao Zhang, Yuan Zhang, Xiao-pei Wu:
  Audio Signal Blind Deconvolution Based on the Quotient Space Hierarchical Theory. 585-590
  
• Ling Zhang, Yanping Zhang, Shu Zhao:
  The Optimal Approximation of Fuzzy Tolerance Relation. 591-599
  

Special Session: Rough Sets in Process Mining

• Weibin Deng, Guoyin Wang, Shuangxia Yang, Feng Hu:
  A New Method for Inconsistent Multicriteria Classification. 600-609
  
• Wojciech Froelich, Alicja Wakulicz-Deja:
  Probabilistic Similarity-Based Reduct. 610-615
  
• Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Jach:
  Inference Processes in Decision Support Systems with Incomplete Knowledge. 616-625
  
• Zbigniew Suraj, Krzysztof Pancerz:
  Synthesis of Synchronized Concurrent Systems Specified by Information Systems. 626-635
  
• Alicja Wakulicz-Deja, Agnieszka Nowak-Brzezinska, Tomasz Xieski:
  Efficiency of Complex Data Clustering. 636-641
  

Workshop: Advances in Granular Computing 2011

• Piotr Artiemjew:
  The Extraction Method of DNA Microarray Features Based on Experimental A Statistics. 642-648
  
• Guang Chen, Ning Zhong:
  Granular Structures in Graphs. 649-658
  
• Avatharam Ganivada, Shubhra Sankar Ray, Sankar K. Pal:
  Fuzzy Rough Granular Self Organizing Map. 659-668
  
• Shen-Ming Gu, Wei-Zhi Wu:
  Knowledge Acquisition in Inconsistent Multi-scale Decision Systems. 669-678
  
• Liping Jing, Jian Yu:
  Text Clustering Based on Granular Computing and Wikipedia. 679-688
  
• He Lin, Yao Zhou:
  Rough Relations, Neighborhood Relations, and Granular Computing. 689-695
  
• Pawan Lingras, Parag Bhalchandra, Satish Mekewad, Ravindra Rathod, Santosh Khamitkar:
  Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call Mining. 696-705
  
• Aibao Luo, Xiuyi Jia, Lin Shang, Yang Gao, Yubin Yang:
  Granular-Based Partial Periodic Pattern Discovery over Time Series Data. 706-711
  
• Andrzej Skowron, Jaroslaw Stepaniuk:
  Approximations of Functions: Toward Rough Granular Calculus. 712-721
  
• Shiping Wang, William Zhu, Fan Min:
  Bipartite Graphs and Coverings. 722-727
  
• Ling Wei, Qiang Li:
  Covering-Based Reduction of Object-Oriented Concept Lattices. 728-733
  
• Yiyu Yao, Jigang Luo:
  Top-Down Progressive Computing. 734-742
  
• Jian Yu, Liping Jing:
  Least Absolute Deviation Cut. 743-752
  
• Zehua Zhang, Duoqian Miao, Jin Qian:
  Hierarchical Qualitative Inference Model with Substructures. 753-762
  
• Igor Chikalov, Beata Zielosko:
  Decision Rules for Decision Tables with Many-Valued Decisions. 763-768
  

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