Data mining: concepts and techniques
Data mining: concepts and techniques
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm
Pattern Recognition Letters
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handling missing values in support vector machine classifiers
Neural Networks - 2005 Special issue: IJCNN 2005
Ameliorative missing value imputation for robust biological knowledge inference
Journal of Biomedical Informatics
Interval Regression Analysis with Soft-Margin Reduced Support Vector Machine
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques
Topological solution of missing attribute values problem in incomplete information tables
Information Sciences: an International Journal
Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm
Information Sciences: an International Journal
Missing data imputation: a fuzzy K-means clustering algorithm over sliding window
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
A fuzzy c-means clustering algorithm based on nearest-neighbor intervals for incomplete data
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A case study on financial ratios via cross-graph quasi-bicliques
Information Sciences: an International Journal
Missing data analysis with fuzzy C-Means: A study of its application in a psychological scenario
Expert Systems with Applications: An International Journal
Positive approximation and converse approximation in interval-valued fuzzy rough sets
Information Sciences: an International Journal
Topological properties of generalized approximation spaces
Information Sciences: an International Journal
A SVM regression based approach to filling in missing values
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
A Novel Framework for Imputation of Missing Values in Databases
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A dynamic programming approach to missing data estimation using neural networks
Information Sciences: an International Journal
A fuzzy c-means based hybrid evolutionary approach to the clustering of supply chain
Computers and Industrial Engineering
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Missing values in datasets should be extracted from the datasets or should be estimated before they are used for classification, association rules or clustering in the preprocessing stage of data mining. In this study, we utilize a fuzzy c-means clustering hybrid approach that combines support vector regression and a genetic algorithm. In this method, the fuzzy clustering parameters, cluster size and weighting factor are optimized and missing values are estimated. The proposed novel hybrid method yields sufficient and sensible imputation performance results. The results are compared with those of fuzzy c-means genetic algorithm imputation, support vector regression genetic algorithm imputation and zero imputation.