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2019 | OriginalPaper | Chapter

pysubgroup: Easy-to-Use Subgroup Discovery in Python

Authors : Florian Lemmerich, Martin Becker

Published in: Machine Learning and Knowledge Discovery in Databases

Publisher: Springer International Publishing

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Abstract

This paper introduces the pysubgroup package for subgroup discovery in Python. Subgroup discovery is a well-established data mining task that aims at identifying describable subsets in the data that show an interesting distribution with respect to a certain target concept. The presented package provides an easy-to-use, compact and extensible implementation of state-of-the-art mining algorithms, interestingness measures, and visualizations. Since it builds directly on the established pandas data analysis library—a de-facto standard for data science in Python—it seamlessly integrates into preprocessing and exploratory data analysis steps. Code related to this paper is available at: http://florian.lemmerich.net/pysubgroup.

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https://cran.r-project.org/web/packages/rsubgroup/rsubgroup.pdf.

https://cran.r-project.org/web/packages/SDEFSR/vignettes/SDEFSRpackage.pdf.

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Title: pysubgroup: Easy-to-Use Subgroup Discovery in Python
Authors: Florian Lemmerich
Martin Becker
Publisher: Springer International Publishing
Book: Machine Learning and Knowledge Discovery in Databases
Print ISBN: 978-3-030-10996-7

Electronic ISBN: 978-3-030-10997-4

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-10997-4_46

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