pysubgroup: Easy-to-Use Subgroup Discovery in Python

• Published in: Machine Learning and Knowledge Discovery in Databases Vol. 11053; pp. 658 - 662
• Main Authors: Lemmerich, Florian, Becker, Martin
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2019; Springer International Publishing
• Series: Lecture Notes in Computer Science
• ISBN: 9783030109967; 3030109968
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-10997-4_46

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.