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Discovering Reliable Functional Dependencies

This is the implementation for discovering reliable dependencies from data using the permutation-based (also known as reliable) fraction of information. For more information you can check the following papers:

  • Discovering Functional Dependencies from Mixed-Type Data, Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken, Proceedings of the ACM SIGKDD conference (KDD’20)
  • Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms, Panagiotis Mandros, Mario Boley, Jilles Vreeken, Proceedings of the IEEE International Conference on Data Mining (ICDM'18)
  • Discovering Reliable Approximate Functional Dependencies , Panagiotis Mandros, Mario Boley, Jilles Vreeken, Proceedings of the ACM SIGKDD conference (KDD’17)

How to run

To discover reliable dependencies in data, refer to the readme.pdf file in the discoveringDependencies folder

Info

This project is written in Java and build upon RealKD

Authors

  • Panagiotis Mandros

License

This project is licensed under the MIT License

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Discovering reliable (approximate) functional dependencies in mixed-type tabular data

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