The fuzzy systems handbook: a practitioner's guide to building, using, and maintaining fuzzy systems
The fuzzy systems handbook: a practitioner's guide to building, using, and maintaining fuzzy systems
Rough computational methods for information systems
Artificial Intelligence
A rough set approach to attribute generalization in data mining
Information Sciences: an International Journal
Data preparation for data mining
Data preparation for data mining
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
Rough Sets and Data Mining: Analysis of Imprecise Data
Rough Sets and Data Mining: Analysis of Imprecise Data
Feature Extraction, Construction and Selection: A Data Mining Perspective
Feature Extraction, Construction and Selection: A Data Mining Perspective
Applying Knowledge Discovery to Predict Water-Supply Consumption
IEEE Expert: Intelligent Systems and Their Applications
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Feature Selection Using Rough Sets Theory
ECML '93 Proceedings of the European Conference on Machine Learning
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Learning rough set classifiers from gene expressions and clinical data
Fundamenta Informaticae
Reduction and axiomization of covering generalized rough sets
Information Sciences: an International Journal
CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
Rough Set Based Data Analysis in Goal Oriented Software Measurement
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
A new rough sets model based on database systems
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model
Information Sciences: an International Journal - Special issue: Medical expert systems
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
Journal of the American Society for Information Science and Technology
Performance Analysis of Accelerated Quickreduct Algorithm
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02
The parameterization reduction of soft sets and its applications
Computers & Mathematics with Applications
On acquiring classification knowledge from noisy data based on rough set
Expert Systems with Applications: An International Journal
Fuzzy-rough data reduction with ant colony optimization
Fuzzy Sets and Systems
The feature selection problem: traditional methods and a new algorithm
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Feature selection with rough sets for web page classification
Transactions on Rough Sets II
Autonomous decision-making: a data mining approach
IEEE Transactions on Information Technology in Biomedicine
Rough classification in incomplete information systems
Mathematical and Computer Modelling: An International Journal
Unsupervised Feature Selection in High Dimensional Spaces and Uncertainty
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
A hybrid approach of DEA, rough set and support vector machines for business failure prediction
Expert Systems with Applications: An International Journal
Rough set-based SAR analysis: An inductive method
Expert Systems with Applications: An International Journal
Computer Methods and Programs in Biomedicine
Data classification using rough sets and naïve Bayes
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Expert Systems with Applications: An International Journal
Rough set analysis on call center metrics
Applied Soft Computing
Diverse reduct subspaces based co-training for partially labeled data
International Journal of Approximate Reasoning
Rough sets for adapting wavelet neural networks as a new classifier system
Applied Intelligence
Feature evaluation and selection with cooperative game theory
Pattern Recognition
A rule-based method for identifying the factor structure in customer satisfaction
Information Sciences: an International Journal
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
Rough sets in the Soft Computing environment
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Unsupervised feature selection in digital mammogram image using rough set theory
International Journal of Bioinformatics Research and Applications
An intelligent supplier evaluation, selection and development system
Applied Soft Computing
Dimension reduction using clustering algorithm and rough set theory
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Mixed feature selection in incomplete decision table
Knowledge-Based Systems
Artificial Intelligence Review
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A rough set theory is a new mathematical tool to deal with uncertainty and vagueness of decision system and it has been applied successfully in all the fields. It is used to identify the reduct set of the set of all attributes of the decision system. The reduct set is used as preprocessing technique for classification of the decision system in order to bring out the potential patterns or association rules or knowledge through data mining techniques. Several researchers have contributed variety of algorithms for computing the reduct sets by considering different cases like inconsistency, missing attribute values and multiple decision attributes of the decision system. This paper focuses on the review of the techniques for dimensionality reduction under rough set theory environment. Further, the rough sets hybridization with fuzzy sets, neural network and metaheuristic algorithms have also been reviewed. The performance analysis of the algorithms has been discussed in connection with the classification.