Variable precision rough set model
Journal of Computer and System Sciences
Tolerance approximation spaces
Fundamenta Informaticae - Special issue: rough sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Relational interpretations of neighborhood operators and rough set approximation operators
Information Sciences—Informatics and Computer Science: An International Journal
Using Rough Sets with Heuristics for Feature Selection
Journal of Intelligent Information Systems
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Granular Computing: An Emerging Paradigm
Granular Computing: An Emerging Paradigm
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Class-Dependent Discretization for Inductive Learning from Continuous and Mixed-Mode Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Reduction and axiomization of covering generalized rough sets
Information Sciences: an International Journal
Efficiently handling feature redundancy in high-dimensional data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Consistency-based search in feature selection
Artificial Intelligence
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Invariance of neighborhood relation under input space to feature space mapping
Pattern Recognition Letters
On fuzzy-rough sets approach to feature selection
Pattern Recognition Letters
Combined SVM-Based Feature Selection and Classification
Machine Learning
Combining Feature Reduction and Case Selection in Building CBR Classifiers
IEEE Transactions on Knowledge and Data Engineering
Nearest Neighbors by Neighborhood Counting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Pattern Recognition Letters
Feature selection algorithm for mixed data with both nominal and continuous features
Pattern Recognition Letters
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Mixed feature selection based on granulation and approximation
Knowledge-Based Systems
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Analysis on classification performance of rough set based reducts
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Ranking outliers using symmetric neighborhood relationship
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Genetic programming for simultaneous feature selection and classifier design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
On the generalization of fuzzy rough sets
IEEE Transactions on Fuzzy Systems
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
A method of learning weighted similarity function to improve the performance of nearest neighbor
Information Sciences: an International Journal
Attribute reduction and optimal decision rules acquisition for continuous valued information systems
Information Sciences: an International Journal
A unified methodology for the efficient computation of discrete orthogonal image moments
Information Sciences: an International Journal
Attribute dependency functions considering data efficiency
International Journal of Approximate Reasoning
Feature Selection via Maximizing Neighborhood Soft Margin
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Selecting discrete and continuous features based on neighborhood decision error minimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reduction about approximation spaces of covering generalized rough sets
International Journal of Approximate Reasoning
Order-based decision rules acquisition in continuous-valued decision information systems
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Feature Selection via Maximizing Fuzzy Dependency
Fundamenta Informaticae
Hybrid mammogram classification using rough set and fuzzy classifier
Journal of Biomedical Imaging
Soft fuzzy rough sets for robust feature evaluation and selection
Information Sciences: an International Journal
Palmprint recognition based on neighborhood rough set
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Probabilistic self-organizing maps for qualitative data
Neural Networks
Pattern classification using class-dependent rough-fuzzy granular space
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
A robust fuzzy rough set model based on minimum enclosing ball
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Similarity-margin based feature selection for symbolic interval data
Pattern Recognition Letters
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Diverse reduct subspaces based co-training for partially labeled data
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
Rough-wavelet granular space and classification of multispectral remote sensing image
Applied Soft Computing
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
Rule learning for classification based on neighborhood covering reduction
Information Sciences: an International Journal
Optimal sub-reducts with test cost constraint
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Transversal and function matroidal structures of covering-based rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Neighborhood rough sets based matrix approach for calculation of the approximations
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Driver status recognition by neighborhood covering rules
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
A comparative study of rough sets for hybrid data
Information Sciences: an International Journal
Class-dependent rough-fuzzy granular space, dispersion index and classification
Pattern Recognition
International Journal of Approximate Reasoning
A parallel method for computing rough set approximations
Information Sciences: an International Journal
Test cost constraint reduction with common cost
FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
The fourth type of covering-based rough sets
Information Sciences: an International Journal
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
Neighborhood rough sets for dynamic data mining
International Journal of Intelligent Systems
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets
Information Sciences: an International Journal
A reduct derived from feature selection
Pattern Recognition Letters
Attribute reduction of data with error ranges and test costs
Information Sciences: an International Journal
Identifying the medical practice after total hip arthroplasty using an integrated hybrid approach
Computers in Biology and Medicine
NMGRS: Neighborhood-based multigranulation rough sets
International Journal of Approximate Reasoning
Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
Matroidal structure of rough sets and its characterization to attribute reduction
Knowledge-Based Systems
Feature selection using rough entropy-based uncertainty measures in incomplete decision systems
Knowledge-Based Systems
Quantitative analysis for covering-based rough sets through the upper approximation number
Information Sciences: an International Journal
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Attribute reduction: A dimension incremental strategy
Knowledge-Based Systems
Related family: A new method for attribute reduction of covering information systems
Information Sciences: an International Journal
Feature Based Rule Learner in Noisy Environment Using Neighbourhood Rough Set Model
International Journal of Software Science and Computational Intelligence
A unified data mining solution for authorship analysis in anonymous textual communications
Information Sciences: an International Journal
Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?
Information Sciences: an International Journal
Rough matroids based on relations
Information Sciences: an International Journal
Rule extraction from support vector machines based on consistent region covering reduction
Knowledge-Based Systems
Granular Computing Models in the Classification of Web Content Data
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Information Sciences: an International Journal
Multigranulation rough sets: From partition to covering
Information Sciences: an International Journal
Engineering Applications of Artificial Intelligence
A novel method for attribute reduction of covering decision systems
Information Sciences: an International Journal
Four matroidal structures of covering and their relationships with rough sets
International Journal of Approximate Reasoning
Neighborhood rough sets based multi-label classification for automatic image annotation
International Journal of Approximate Reasoning
Feature selection with test cost constraint
International Journal of Approximate Reasoning
Composite rough sets for dynamic data mining
Information Sciences: an International Journal
Explicit rough-fuzzy pattern classification model
Pattern Recognition Letters
Mixed feature selection in incomplete decision table
Knowledge-Based Systems
Artificial Intelligence Review
International Journal of Approximate Reasoning
A Comparative Study of Ordered and Covering Information Systems
Fundamenta Informaticae
Minimal Description and Maximal Description in Covering-based Rough Sets
Fundamenta Informaticae
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Feature subset selection is viewed as an important preprocessing step for pattern recognition, machine learning and data mining. Most of researches are focused on dealing with homogeneous feature selection, namely, numerical or categorical features. In this paper, we introduce a neighborhood rough set model to deal with the problem of heterogeneous feature subset selection. As the classical rough set model can just be used to evaluate categorical features, we generalize this model with neighborhood relations and introduce a neighborhood rough set model. The proposed model will degrade to the classical one if we specify the size of neighborhood zero. The neighborhood model is used to reduce numerical and categorical features by assigning different thresholds for different kinds of attributes. In this model the sizes of the neighborhood lower and upper approximations of decisions reflect the discriminating capability of feature subsets. The size of lower approximation is computed as the dependency between decision and condition attributes. We use the neighborhood dependency to evaluate the significance of a subset of heterogeneous features and construct forward feature subset selection algorithms. The proposed algorithms are compared with some classical techniques. Experimental results show that the neighborhood model based method is more flexible to deal with heterogeneous data.