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Home > Rough Set and Knowledge Technology: 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings > Mining Incomplete Data—A Rough Set Approach
Rough Set and Knowledge Technology: 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings |
JingTao Yao; Sheela Ramanna; Guoyin Wang; Zbigniew Suraj
Springer Berlin Heidelberg
Rough Set and Knowledge Technology: 6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings
Mining Incomplete Data—A Rough Set Approach
Authors

Jerzy W. Grzymała-Busse

ARI Id

1664721236425_2919908

Access

Not Available Free

Pages

1-7

DOI

10.1007/978-3-642-24425-4_1

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-24425-4_1

Table of Contents of Book
Showing 1 to 20 of 97 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Mining Incomplete Data—A Rough Set Approach
Jerzy W. Grzymała-Busse
1-7
Uncertainty and Feature Selection in Rough Set Theory
Jiye Liang
8-15
Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades
Witold Pedrycz
16-16
Sufficiently Near Sets of Neighbourhoods
James F. Peters
17-24
History of Set Theory and Its Extensions in the Context of Soft Computing
Sarjerao Nimse; Pawan Lingras
25-25
Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept Analysis
Eduard Bartl; Hana Rezankova; Lukas Sobisek
26-35
Rule-Based Estimation of Attribute Relevance
Jerzy Błaszczyński; Roman Słowiński; Robert Susmaga
36-44
Applications of Approximate Reducts to the Feature Selection Problem
Andrzej Janusz; Sebastian Stawicki
45-50
Dependence and Algebraic Structure of Formal Contexts
Tong-Jun Li; Ying-Xue Wu; Xiaoping Yang
51-56
Optimal Sub-Reducts with Test Cost Constraint
Fan Min; William Zhu
57-62
An Efficient Fuzzy-Rough Attribute Reduction Approach
Yuhua Qian; Chao Li; Jiye Liang
63-70
A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice
Mingwen Shao; Li Guo; Lan Li
71-80
Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule Aggregation
Dominik Ślęzak; Sebastian Widz
81-88
A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees
Mariusz Wrzesień; Wiesław Paja; Krzysztof Pancerz
89-94
An Efficient Fuzzy Rough Approach for Feature Selection
Feifei Xu; Weiguo Pan; Lai Wei; Haizhou Du
95-100
Partitions, Coverings, Reducts and Rule Learning in Rough Set Theory
Yiyu Yao; Rong Fu
101-109
A Rough Set Approach to Feature Selection Based on Relative Decision Entropy
Lin Zhou; Feng Jiang
110-119
A Variable Precision Covering Generalized Rough Set Model
Xinwei Zheng; Jian-Hua Dai
120-125
Dominance-Based Rough Set Approach on Pairwise Comparison Tables to Decision Involving Multiple Decision Makers
Salvatore Greco; Benedetto Matarazzo; Roman Słowiński
126-135
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 97 entries
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