Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
The nature of statistical learning theory
The nature of statistical learning theory
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Synthetic Fraud Data Generation Methodology
ICICS '02 Proceedings of the 4th International Conference on Information and Communications Security
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Synthesizing Test Data for Fraud Detection Systems
ACSAC '03 Proceedings of the 19th Annual Computer Security Applications Conference
Credit scoring with a data mining approach based on support vector machines
Expert Systems with Applications: An International Journal
Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems
Expert Systems with Applications: An International Journal
Classification of weld flaws with imbalanced class data
Expert Systems with Applications: An International Journal
Cluster-based under-sampling approaches for imbalanced data distributions
Expert Systems with Applications: An International Journal
Evolutionary software engineering, a review
Applied Soft Computing
Predicting breast cancer survivability: a comparison of three data mining methods
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Random Forests for Generating Partially Synthetic, Categorical Data
Transactions on Data Privacy
Open issues in genetic programming
Genetic Programming and Evolvable Machines
Using support vector machines for generating synthetic datasets
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Synthetic data for small area estimation
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Expert Systems with Applications: An International Journal
A new approach to prediction of radiotherapy of bladder cancer cells in small dataset analysis
Expert Systems with Applications: An International Journal
Synthetic Generation of High-Dimensional Datasets
IEEE Transactions on Visualization and Computer Graphics
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Sampling strategies which have very significant role on examining data characteristics i.e. imbalanced, small, exhaustive have been discussed in the literature for the last couple decades. In this study, the sampling problem encountered on small and continuous data sets is examined. Sampling with measured data by employing k-fold cross validation, and sampling with synthetic data generated by fuzzy c-means clustering are applied, and then the performances of genetic programming GP and adaptive neuro fuzzy inference system ANFIS on these data sets are discussed. Concluding remarks are that when the experimental results are considered, fuzzy c-means based synthetic sampling is more successful than k-fold cross validation while modeling small and continous data sets with ANFIS and GP, so it can be proposed for these type of data sets. Additionally, ANFIS shows slightly better performance than GP when sytnthetic data is employed, but GP is less sensitive to data set and produces ouputs that are narrower range than ANFIS's outputs while k-fold cross validation is employed.