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代表论文
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2014年度论文
时间:2014-12-31 作者:
[1]Hexiang Bai,Yong Ge,Jinfeng Wang,Deyu Li,Yilan Liao.              A method for extracting rules from spatial data based on rough fuzzy,              Knowledge-Based Systems,              2014,              57:28-44.                              
[2]Yuhua Qian,Hu Zhang,Feijiang Li,Qinghua Hu,Jiye Liang.              Set-Based Granular Computing: a Lattice Model,              International Journal of Approximate Reasoning,              2014,              55(3):834–852.                              
[3]Yuhua Qian,Shunyong Li,Jiye Liang,Zhongzhi Shi,Feng Wang.              Pessimistic rough set based decisions: A multigranulation fusion strategy,              Information Sciences,              2014,              264:196–210.                              
[4]Liang Bai,Jiye Liang.              The k-modes type clustering plus between-cluster information for categorical data,              Neurocomputing,              2014,              133:111–121.                              
[5]Yanhong Li,Deyu Li,Suge Wang,Yanhui Zhai.              Incremental entropy-based clustering on categorical data streams with concept drift,              Knowledge-Based Systems,              2014,              59:33-47.                              
[6]Xuefei Bai,Wenjian Wang.              Saliency-SVM: An automatic approach for image segmentation,              Neurocomputing,              2014,              136:243–255.                              
[7]Baoli Wang,Jiye Liang,Yuhua Qian.              Preorder information based attributes weights learning in multi-attribute decision making,              Fundamenta Informaticae,              2014,              132:331-347.                              
[8]Jiye Liang,Feng Wang,Chuangyin Dang,Yuhua Qian.              A group incremental approach to feature selection applying rough set technique,              IEEE Transactions on Knowledge and Data Engineering,              2014,              26(2):294 - 308.                              
[9]Yuhua Qian,Hu Zhang,Yanli Sang,Jiye Liang.              Multigranulation decision-theoretic rough sets,              International Journal of Approximate Reasoning,              2014,              55:225-237.                              
[10]Xin Liu,Yuhua Qian,Jiye Liang.              A rule-extraction framework under multigranulation rough sets,              International Journal of Machine Learning and Cybernetics,              2014,              5(2):319-326.                              
[11]Hua Li,Deyu Li,Yanhui Zhai,Suge Wang,Jing Zhang.              A variable precision attribute reduction approach in multilabel decision tables,              The Scientific World Journal,              2014,              2014:1-7.                              
[12]Guoping Lin,Jiye Liang,Yuhua Qian.              Topological approach to multigranulation rough sets,              International Journal of Machine Learning and Cybernetics,              2014,              5(2):233-243.                              
[13]Xingwang Zhao,Jiye Liang,Fuyuan Cao.              A simple and effective outlier detection algorithm for categorical data,              International Journal of Machine Learning and Cybernetics,              2014,              5(3):469–477.                              
[14]Xiangping Kang,Deyu Li.              Dependency space, closure system and rough set theory,              International Journal of Machine Learning and Cybernetics,              2014,              4(6):595-599.                              
[15]姜高霞,王文剑.               时序数据曲线排齐的相关性分析方法,               软件学报,               2014,              9:2002-2017.                              
[16]郭虎升,王文剑.               基于主动学习的模式类别挖掘模型,               计算机研究与发展,               2014,              51(10):2148-2159.                

  • A_Group_Incremental_Approach_to_Feature_Selection_Applying_Rough_Set_Technique(2014)IEEE_TKDE_20135224081248.pdf
  • A_method_for_extracting_rules_from_spatial_data_based_on_rough_fuzzy_sets_20142008110203.pdf
  • A_rule-extraction_framework_under_multigranulation_rough_sets(2014)_20143514071210.pdf
  • A_simple_and_effective_outlier_detection_algorithm_for_categorical_data(2014)IJMLC_20144512030638.pdf
  • A_Variable_Precision_Attribute_Reduction_Approach_in_Multilabel_Decision_Tables_20154403070341.pdf
  • Dependency_space,_closure_system_and_rough_set_theory_20133321081020.pdf
  • Incremental_entropy-based_clustering_on_categorical_data_streams_20141908090307.pdf
  • Multigranulation_decision-theoretic_rough_sets(2014)IJAR_20135818051142.pdf
  • Pessimistic_rough_set_based_decisions__A_multigranulation_fusion_strategy(2014)IS_20145120090209.pdf
  • Preorder_information_based_attributes_weights_learning_in_multi-attribute_decision_making(2014)IF_20144812030655.pdf
  • Set-based_granular_computing__A_lattice_model(2014)IJIR_20144920090231 (1).pdf
  • Set-based_granular_computing__A_lattice_model(2014)IJIR_20144920090231.pdf
  • The_k-modes_type_clustering_plus_between-cluster_information_for_categorical_data(2014)Neuro_20140028110225.pdf
  • Topological_approach_to_multigranulation_rough_sets(2014)_20144014071237.pdf
  • 时序数据曲线排齐的相关性分析方法_20163802101025.pdf