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pysubgroup: Easy-to-Use Subgroup Discovery in Python

  • Florian LemmerichEmail author
  • Martin Becker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11053)

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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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.RWTH Aachen UniversityAachenGermany
  2. 2.University of WürzburgWürzburgGermany

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