Synthetic Dataset

A Synthetic Dataset is a machine-generated dataset composed of synthetic data records.

• AKA: Artificial Data.
• Context:
  • It can be produced by a Synthetic Dataset Generator (solving a synthetic data generation task).
  • It can represent some Random Experiment (that was designed to have certain characteristics.)
  • ...
• Example(s):
  • a Synthetic Continuous Dataset.
  • …
• Counter-Example(s):
  • any Real-World Dataset.
• See: Synthetic, Modified Dataset.

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References

2010

• (Adä et al., 2010) ⇒ Iris Adä, and Michael R. Berthold. (2010). “The New Iris Data: Modular Data Generators.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835858

2009

• (Gentle, 2009) ⇒ James E. Gentle. (2009). “Computational Statistics." Springer. ISBN:978-0-387-98143-7
  • QUOTE: Many exercises require the student to generate artificial data. While such datasets may lack any apparent intrinsic interest, I believe that they are often the best for learning how a statistical method works. One of my firm beliefs is
    If I understand something, I can simulate it.

1999

• (Melli, 1999b) ⇒ Gabor Melli. (1999). “The datgen Dataset Generator." Version 3.1 http://www.datasetgenerator.com