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Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
An implementation of the Feature Selection with Annealing method from: Barbu et al. Feature Selection with Annealing for Computer Vision and Big Data Learning. IEEE PAMI, 39, No. 2, 272–286, 2017 https://arxiv.org/abs/1310.2880
Frequency Based Pruning (FBP) is a feature selection algorithm based upon maximizing the Youden J statistic. FBP intelligently enumerates through combinations of features, using the frequency of smaller patterns to prune away large regions of the solution space.