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IEEE Transactions on Automatic Control, ISSN 0018-9286, 07/2011, Volume 56, Issue 7, pp. 1684 - 1690
Journal Article
Artificial Intelligence, ISSN 0004-3702, 2010, Volume 174, Issue 9, pp. 597 - 618
Feature selection is a challenging problem in areas such as pattern recognition, machine learning and data mining. Considering a consistency measure introduced... 
Rough set theory | Granular computing | Positive approximation | Attribute reduction | Decision table | DIMENSIONALITY | KNOWLEDGE REDUCTION | DECISION TABLES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FEATURE-SELECTION | INFORMATION GRANULATION | UNCERTAINTY | SYSTEMS | ENTROPY | Reduction | Algorithms | Approximation | Accelerators | Mathematical analysis | Set theory | Data mining | Heuristic
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 02/2014, Volume 26, Issue 2, pp. 294 - 308
Journal Article
Computational Economics, ISSN 0927-7099, 10/2019, Volume 54, Issue 3, pp. 877 - 891
Journal Article
Health Care Management Science, ISSN 1386-9620, 2019, pp. 1 - 24
In the domain of Home Health Care (HHC), precise decisions regarding patient's selection, staffing level, and scheduling of health care staff have a... 
Decision rules | Patients selection | Nurse scheduling | Home health care | Quantitative thresholds | Linear programming | Mathematical models | Methods | Health care management
Journal Article
Computational Optimization and Applications, ISSN 0926-6003, 11/2018, Volume 71, Issue 2, pp. 381 - 402
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 10/2016, Volume 27, Issue 10, pp. 2047 - 2059
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 04/2011, Volume 19, Issue 2, pp. 253 - 264
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2019, Volume 28, Issue 3, pp. 1149 - 1162
Journal Article
Artificial Intelligence, ISSN 0004-3702, 08/2019, Volume 273, pp. 37 - 55
The objective of clustering ensemble is to find the underlying structure of data based on a set of clustering results. It has been observed that the samples... 
Clustering ensemble | Clustering analysis | Ensemble learning | Sample's stability | CONSENSUS | DIVERSITY | COMBINATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Information management | Image processing | Analysis | Datasets | Image segmentation | Data sets | Sampling methods | Statistical methods | Clustering
Journal Article
Information Sciences, ISSN 0020-0255, 2010, Volume 180, Issue 6, pp. 949 - 970
The original rough set model was developed by Pawlak, which is mainly concerned with the approximation of sets described by a single binary relation on the... 
Multi-granulation | Measures | Rough sets | Attribute reduction | Rule extraction | DECISION PERFORMANCE | INCLUSION DEGREE | APPROXIMATION | KNOWLEDGE GRANULATION | INFORMATION GRANULATION | UNCERTAINTY | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 01/2019, Volume 163, pp. 416 - 428
Large-scale data analysis is a challenging and relevant task for present-day research and industry. As a promising data analysis tool, clustering is becoming... 
Stratified sampling | Large-scale data | Data labeling | Fuzzy [formula omitted]-means algorithm | Fuzzy c-means algorithm | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms | Information management | Fuzzy logic | Fuzzy sets | Data analysis | State of the art | Data management | Data sets | Approximations | Clustering | Computing time | Sampling
Journal Article
Applied Soft Computing Journal, ISSN 1568-4946, 01/2013, Volume 13, Issue 1, pp. 676 - 689
[Display omitted] ► This paper focuses on attribute reduction for data sets with dynamically varying data values. ► The new feature subset can be updated in a... 
Dynamic data sets | Information entropy | Rough sets | Attribute reduction | DECISION PERFORMANCE | APPROXIMATION | KNOWLEDGE | GRANULATION | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | UNCERTAINTY | INFORMATION-SYSTEMS | SELECTION | FUZZY-ROUGH SETS | ENTROPY
Journal Article
IEEE Transactions on Fuzzy Systems, ISSN 1063-6706, 2012, Volume 20, Issue 4, pp. 728 - 745
Journal Article
Pattern Recognition, ISSN 0031-3203, 2011, Volume 44, Issue 8, pp. 1658 - 1670
Journal Article
Fixed Point Theory and Applications, ISSN 1687-1820, 12/2015, Volume 2015, Issue 1, pp. 1 - 15
Journal Article
Neural Networks, ISSN 0893-6080, 09/2019, Volume 117, pp. 191 - 200
Graph partitioning, a classical NP-hard combinatorial optimization problem, is widely applied to industrial or management problems. In this study, an... 
Graph partitioning | Deterministic annealing neural network algorithm | NP-hard problem | Neural network | Combinatorial optimization | REGRESSION | SCHEME | IMPLEMENTATION | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Annealing | Algorithms | Neural networks | Mechanical engineering
Journal Article
Pattern Recognition, ISSN 0031-3203, 09/2017, Volume 69, pp. 150 - 168
•Propose a clustering ensemble selection algorithm for categorical data(SIVID).•SIVID measures the quality of base clusterings with internal validity... 
Clustering ensemble selection | Categorical data | Quality | Clustering validity indices | Diversity | IMPACT | CONSENSUS | K-MODES ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Analysis
Journal Article