Subgroup Discovery

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Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (47 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Discovering outstanding subgroup lists for numeric targets using MDL
  16 Jun 2020 3 repositories listed
  We propose a dispersion-aware problem formulation for subgroup set discovery that is based on the minimum description length (MDL) principle and subgroup lists.
• Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
  19 Mar 2024 2 repositories listed
  Discovering biased subgroups is the key to understanding models' failure modes and further improving models' robustness.
• "What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis
  9 Aug 2021 2 repositories listed
  Among daily tasks of database administrators (DBAs), the analysis of query workloads to identify schema issues and improving performances is crucial.
• Robust subgroup discovery
  25 Mar 2021 2 repositories listed
  This novel model class allows us to formalise the problem of optimal robust subgroup discovery using the Minimum Description Length (MDL) principle, where we resort to optimal Normalised Maximum Likelihood and Bayesian…
• Discovering multiple antibiotic resistance phenotypes using diverse top-k subgroup list discovery
  26 Jun 2025 1 repository listed
  The discovery of multiple patient phenotypes for the same medical phenomenon would be useful in such cases.
• Subgroups: A Python library for Subgroup Discovery
  17 Sep 2024 1 repository listed
  This manuscript introduces Subgroups, an openly accessible Python library designed to ease the use of Subgroup Discovery (SD) algorithms for machine learning and data science.
• Using Constraints to Discover Sparse and Alternative Subgroup Descriptions
  3 Jun 2024 1 repository listed
  Further, we propose a novel Satisfiability Modulo Theories (SMT) formulation of subgroup discovery as a white-box optimization problem, which allows solver-based search for subgroups and is open to a variety of…
• Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
  1 Oct 2023 1 repository listed
  To achieve this, we design a pattern syntax and a quality measure that ensure the identified subgroups are relevant, non-redundant, and resilient to noise.
• VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate
  29 May 2023 1 repository listed
  Subgroup Discovery (SD) is a supervised data mining technique for identifying a set of relations (subgroups) among attributes from a dataset with respect to a target attribute.
• Subgroup Discovery in Unstructured Data
  15 Jul 2022 1 repository listed
  Subgroup discovery is a descriptive and exploratory data mining technique to identify subgroups in a population that exhibit interesting behavior with respect to a variable of interest.
• Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method
  4 Nov 2021 1 repository listed
  Overweight and obesity remain a major global public health concern and identifying the individualized patterns that increase the risk of future weight gains has a crucial role in preventing obesity and numerous…
• Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
  6 Aug 2021 1 repository listed
  The need of predictive maintenance comes with an increasing number of incidents reported by monitoring systems and equipment/software users.
• Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach
  10 Jan 2020 1 repository listed
  The connectivity structure of graphs is typically related to the attributes of the nodes.
• REDS: Rule Extraction for Discovering Scenarios
  3 Oct 2019 1 repository listed
  Given a computational budget, results tend to get worse as the number of inputs of the simulation model and the cost of simulations increase.
• Embedding-based Silhouette Community Detection
  17 Jul 2019 1 repository listed
  Mining complex data in the form of networks is of increasing interest in many scientific disciplines.
• FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
  10 Apr 2019 1 repository listed
  We present FairVis, a mixed-initiative visual analytics system that integrates a novel subgroup discovery technique for users to audit the fairness of machine learning models.
• Unsupervised learning with contrastive latent variable models
  14 Nov 2018 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Here, we present a probabilistic model for dimensionality reduction to discover signal that is enriched in the target dataset relative to the background dataset.
• Contrastive Principal Component Analysis
  20 Sep 2017 1 repository listed
  We present a new technique called contrastive principal component analysis (cPCA) that is designed to discover low-dimensional structure that is unique to a dataset, or enriched in one dataset relative to other data.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.