FDTool: a Python application to mine for functional dependencies and candidate keys in tabular data [version 1; peer review: 2 approved]
Functional dependencies (FDs) and candidate keys are essential for table decomposition, database normalization, and data cleansing. In this paper, we present FDTool, a command line Python application to discover minimal FDs in tabular datasets and infer equivalent attribute sets and candidate keys f...
Main Authors: | Matt Buranosky, Elmar Stellnberger, Emily Pfaff, David Diaz-Sanchez, Cavin Ward-Caviness |
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Format: | Article |
Language: | English |
Published: |
F1000 Research Ltd
2018-10-01
|
Series: | F1000Research |
Online Access: | https://f1000research.com/articles/7-1667/v1 |
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