Experiments based synthetic data has proven to be very effective in simulation models, scientific studies and research purpose. Using several approaches, flexibility and accuracy can be obtained. Synthetic data generation is very useful in cases of li...
Experiments based synthetic data has proven to be very effective in simulation models, scientific studies and research purpose. Using several approaches, flexibility and accuracy can be obtained. Synthetic data generation is very useful in cases of limited data availability. This includes cases at which data is available but protected under certain confidentiality by private data collectors and not made available for research purposes. This paper presents a brief survey on synthetic data generation and states some approaches that can be used to carry out synthetic data generation.