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Subgroup discovery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/widm.1069openalex-snapshot
Mining social media: key players, sentiments, and communities
inferredcites →https://doi.org/10.1002/widm.1118openalex-snapshot
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms
inferredcites →https://doi.org/10.1007/11415763_5openalex-snapshot
Quality Measures and Semi-automatic Mining of Diagnostic Rule Bases
inferredcites →https://doi.org/10.1007/11528784_10openalex-snapshot
Efficient Mining of Association Rules Based on Formal Concept Analysis
inferredcites →https://doi.org/10.1007/11615576_12openalex-snapshot
Relevancy in Constraint-Based Subgroup Discovery
inferredcites →https://doi.org/10.1007/11871637_6openalex-snapshot
SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery
inferredcites →https://doi.org/10.1007/11891451_28openalex-snapshot
A Methodological View on Knowledge-Intensive Subgroup Discovery
inferredcites →https://doi.org/10.1007/11893318_31openalex-snapshot
Visual Interactive Subgroup Discovery with Numerical Properties of Interest
inferredcites →https://doi.org/10.1007/3-540-44957-4_65openalex-snapshot
Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets
inferredcites →https://doi.org/10.1007/3-540-45681-3_23openalex-snapshot
Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database
inferredcites →https://doi.org/10.1007/3-540-45681-3_33openalex-snapshot
A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases
inferredcites →https://doi.org/10.1007/3-540-49257-7_25openalex-snapshot
Discovering Frequent Closed Itemsets for Association Rules
inferredcites →https://doi.org/10.1007/3-540-63223-9_108openalex-snapshot
An algorithm for multi-relational discovery of subgroups
inferredcites →https://doi.org/10.1007/978-0-85729-130-1_20openalex-snapshot
The Mining and Analysis Continuum of Explaining Uncovered
inferredcites →https://doi.org/10.1007/978-1-4612-0919-5_4openalex-snapshot
The Generalization of Student’s Ratio
inferredcites →https://doi.org/10.1007/978-1-4614-8579-7_4openalex-snapshot
Social Behavior in Mobile Social Networks: Characterizing Links, Roles, and Communities
inferredcites →https://doi.org/10.1007/978-3-319-14723-9openalex-snapshot
Mining, Modeling, and Recommending 'Things' in Social Media
inferredcites →https://doi.org/10.1007/978-3-319-33858-3openalex-snapshot
Pattern Mining with Evolutionary Algorithms
inferredcites →https://doi.org/10.1007/978-3-540-30214-8_5openalex-snapshot
CorClass: Correlated Association Rule Mining for Classification
inferredcites →https://doi.org/10.1007/978-3-540-45231-7_22openalex-snapshot
APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery
inferredcites →https://doi.org/10.1007/978-3-540-87479-9_47openalex-snapshot
Tight Optimistic Estimates for Fast Subgroup Discovery
inferredcites →https://doi.org/10.1007/978-3-642-03070-3_4openalex-snapshot
Discretization of Target Attributes for Subgroup Discovery
inferredcites →https://doi.org/10.1007/978-3-642-03915-7_11openalex-snapshot
Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
inferredcites →https://doi.org/10.1007/978-3-642-04125-9_7openalex-snapshot
Fast Subgroup Discovery for Continuous Target Concepts
inferredcites →https://doi.org/10.1007/978-3-642-04180-8_20openalex-snapshot
Evaluation Measures for Multi-class Subgroup Discovery
inferredcites →https://doi.org/10.1007/978-3-642-04180-8_29openalex-snapshot
Non-redundant Subgroup Discovery Using a Closure System
inferredcites →https://doi.org/10.1007/978-3-642-23166-7openalex-snapshot
Data Mining: Foundations and Intelligent Paradigms
inferredcites →https://doi.org/10.1007/978-3-642-33460-3_52openalex-snapshot
Collective Information Extraction with Context-Specific Consistencies
inferredcites →https://doi.org/10.1007/978-3-642-33486-3_18openalex-snapshot
Generic Pattern Trees for Exhaustive Exceptional Model Mining
inferredcites →https://doi.org/10.1007/978-3-642-33486-3_60openalex-snapshot
VIKAMINE – Open-Source Subgroup Discovery, Pattern Mining, and Analytics
inferredcites →https://doi.org/10.1007/978-3-642-34347-6_16openalex-snapshot
A Personality Based Design Approach Using Subgroup Discovery
inferredcites →https://doi.org/10.1007/978-3-642-37207-0_11openalex-snapshot
Discovering Subgroups by Means of Genetic Programming
inferredcites →https://doi.org/10.1007/978-3-642-40319-4_35openalex-snapshot
Cost-Based Quality Measures in Subgroup Discovery
inferredcites →https://doi.org/10.1007/978-3-642-40994-3_19openalex-snapshot
Difference-Based Estimates for Generalization-Aware Subgroup Discovery
inferredcites →https://doi.org/10.1007/978-3-642-45252-9_14openalex-snapshot
Interesting Subset Discovery and Its Application on Service Processes
inferredcites →https://doi.org/10.1007/b100712openalex-snapshot
Advanced Lectures on Machine Learning
inferredcites →https://doi.org/10.1007/b137601openalex-snapshot
Local Pattern Detection: International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers
inferredcites →https://doi.org/10.1007/s00500-010-0670-3openalex-snapshot
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department
inferredcites →https://doi.org/10.1007/s10115-010-0356-2openalex-snapshot
An overview on subgroup discovery: foundations and applications
inferredcites →https://doi.org/10.1007/s10489-007-0057-zopenalex-snapshot
A case-based approach for characterization and analysis of subgroup patterns
inferredcites →https://doi.org/10.1007/s10618-006-0059-1openalex-snapshot
Frequent pattern mining: current status and future directions
inferredcites →https://doi.org/10.1007/s10618-009-0136-3openalex-snapshot
On subgroup discovery in numerical domains
inferredcites →https://doi.org/10.1007/s10618-012-0273-yopenalex-snapshot
Diverse subgroup set discovery
inferredcites →https://doi.org/10.1007/s10618-014-0378-6openalex-snapshot
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality
inferredcites →https://doi.org/10.1007/s10618-015-0436-8openalex-snapshot
Fast exhaustive subgroup discovery with numerical target concepts
inferredcites →https://doi.org/10.1007/s10710-010-9109-yopenalex-snapshot
Grammar-based Genetic Programming: a survey
inferredcites →https://doi.org/10.1007/s10844-013-0292-1openalex-snapshot
Semantic subgroup explanations
inferredcites →https://doi.org/10.1007/s10994-009-5121-yopenalex-snapshot
Cluster-grouping: from subgroup discovery to clustering
inferredcites →https://doi.org/10.1016/0378-7206(85)90026-6openalex-snapshot
1985 ACM-SIGMOD international conference on management of data
inferredcites →https://doi.org/10.1016/j.asoc.2003.10.002openalex-snapshot
Discovering interesting knowledge from a science and technology database with a genetic algorithm
inferredcites →https://doi.org/10.1016/j.ins.2011.01.039openalex-snapshot
Searching for rules to detect defective modules: A subgroup discovery approach
inferredcites →https://doi.org/10.1016/j.knosys.2014.04.030openalex-snapshot
Discovering statistically non-redundant subgroups
inferredcites →https://doi.org/10.1016/j.tcs.2009.10.024openalex-snapshot
Listing closed sets of strongly accessible set systems with applications to data mining
inferredcites →https://doi.org/10.1016/s0895-4356(03)00177-xopenalex-snapshot
The diagnostic odds ratio: a single indicator of test performance
inferredcites →https://doi.org/10.1016/s0898-1221(03)90175-1openalex-snapshot
Handbook of data mining and knowledge discovery
inferredcites →https://doi.org/10.1016/s0898-1221(96)90007-3openalex-snapshot
Advances in knowledge discovery and data mining
inferredcites →https://doi.org/10.1016/s0933-3657(03)00034-4openalex-snapshot
Active subgroup mining: a case study in coronary heart disease risk group detection
inferredcites →https://doi.org/10.1016/s0950-7051(99)00019-2openalex-snapshot
On rule interestingness measures
inferredcites →https://doi.org/10.1023/a:1008894516817openalex-snapshot
Bump hunting in high-dimensional data
inferredcites →https://doi.org/10.1023/a:1009787925236openalex-snapshot
A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships
inferredcites →https://doi.org/10.1023/a:1011429418057openalex-snapshot
Detecting Group Differences: Mining Contrast Sets
inferredcites →https://doi.org/10.1023/a:1022812808206openalex-snapshot
A Statistical Theory for Quantitative Association Rules
inferredcites →https://doi.org/10.1023/b:dami.0000005258.31418.83openalex-snapshot
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
inferredcites →https://doi.org/10.1023/b:mach.0000035474.48771.cdopenalex-snapshot
Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned
inferredcites →https://doi.org/10.1080/00049670.2013.790685openalex-snapshot
Collaboration and the Semantic Web: social networks, knowledge networks and knowledge resources
inferredcites →https://doi.org/10.1093/comjnl/bxs057openalex-snapshot
Semantic Subgroup Discovery Systems and Workflows in the SDM-Toolkit
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/icde.2001.914857openalex-snapshot
MAFIA: a maximal frequent itemset algorithm for transactional databases
inferredcites →https://doi.org/10.1109/icde.2008.4497425openalex-snapshot
Direct Discriminative Pattern Mining for Effective Classification
inferredcites →https://doi.org/10.1109/icdm.2001.989492openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/icdm.2007.85openalex-snapshot
The Chosen Few: On Identifying Valuable Patterns
inferredcites →https://doi.org/10.1109/icdm.2010.53openalex-snapshot
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
inferredcites →https://doi.org/10.1109/icdm.2011.65openalex-snapshot
Exploiting False Discoveries -- Statistical Validation of Patterns and Quality Measures in Subgroup Discovery
inferredcites →https://doi.org/10.1109/icdm.2011.94openalex-snapshot
Local Models for Expectation-Driven Subgroup Discovery
inferredcites →https://doi.org/10.1109/icdm.2012.117openalex-snapshot
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data
inferredcites →https://doi.org/10.1109/icdmw.2010.98openalex-snapshot
Interesting Subset Discovery and Its Application on Service Processes
inferredcites →https://doi.org/10.1109/tcyb.2014.2306819openalex-snapshot
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery
inferredcites →https://doi.org/10.1109/tfuzz.2006.890662openalex-snapshot
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing
inferredcites →https://doi.org/10.1109/tfuzz.2010.2060200openalex-snapshot
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery
inferredcites →https://doi.org/10.1109/tii.2014.2311968openalex-snapshot
Subgroup Discovery in Smart Electricity Meter Data
inferredcites →https://doi.org/10.1109/tpami.1985.4767621openalex-snapshot
A Metric for Comparing Relational Descriptions
inferredcites →https://doi.org/10.1111/exsy.12080openalex-snapshot
Contrast set mining in temporal databases
inferredcites →https://doi.org/10.1137/1.9781611972832openalex-snapshot
Proceedings of the 2013 SIAM International Conference on Data Mining
inferredcites →https://doi.org/10.1137/1.9781611973440.81openalex-snapshot
ROC search — An ROC-guided Search Strategy for Subgroup Discovery
inferredcites →https://doi.org/10.1142/s0218213009000056openalex-snapshot
A SEMI-AUTOMATIC APPROACH FOR CONFOUNDING-AWARE SUBGROUP DISCOVERY
inferredcites →https://doi.org/10.1145/1132960.1132963openalex-snapshot
Interestingness measures for data mining
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/2020408.2020500openalex-snapshot
Direct local pattern sampling by efficient two-step random procedures
inferredcites →https://doi.org/10.1145/2339530.2339578openalex-snapshot
Mining recent temporal patterns for event detection in multivariate time series data
inferredcites →https://doi.org/10.1145/2339530.2339668openalex-snapshot
Different slopes for different folks
inferredcites →https://doi.org/10.1145/2339530.2339756openalex-snapshot
An enhanced relevance criterion for more concise supervised pattern discovery
inferredcites →https://doi.org/10.1145/276304.276313openalex-snapshot
Efficiently mining long patterns from databases
inferredcites →https://doi.org/10.1145/279943.279993openalex-snapshot
Self bounding learning algorithms
inferredcites →https://doi.org/10.1145/288627.288643openalex-snapshot
Efficient enumeration of frequent sequences
inferredcites →https://doi.org/10.1145/312129.312191openalex-snapshot
Efficient mining of emerging patterns
inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/502512.502569openalex-snapshot
Discovering associations with numeric variables
inferredcites →https://doi.org/10.1162/jmlr.2003.3.4-5.833openalex-snapshot
Finding the most interesting patterns in a database quickly by using sequential sampling
inferredcites →https://doi.org/10.1214/aoms/1177732979openalex-snapshot
The Generalization of Student's Ratio
inferredcites →https://doi.org/10.1504/ijws.2013.056577openalex-snapshot
Exploratory pattern mining on social media using geo-references and social tagging information
inferredcites →https://doi.org/10.1613/jair.1089openalex-snapshot
Expert-Guided Subgroup Discovery: Methodology and Application
inferredcites →https://doi.org/10.3217/jucs-011-11-1752openalex-snapshot
Semi-Automatic Visual Subgroup Mining using VIKAMINE
inferredcites →https://doi.org/10.3233/978-1-58603-891-5-683openalex-snapshot
Application and Evaluation of a Medical Knowledge System in Sonography (SONOCONSULT)
inferredcites →https://doi.org/10.4018/978-1-4666-0894-8.ch009openalex-snapshot
Data Mining, Validation, and Collaborative Knowledge Capture
inferredcites →https://doi.org/10.4018/978-1-59140-557-3openalex-snapshot
Encyclopedia of Data Warehousing and Mining
inferredcites →https://doi.org/10.46298/jdmdh.7openalex-snapshot
Data Mining on Social Interaction Networks
inferredcites →https://doi.org/10.48550/arxiv.cs/0505071openalex-snapshot
Summarization Techniques for Pattern Collections in Data Mining
inferredcites →https://doi.org/10.5555/1005332.1005338openalex-snapshot
Subgroup Discovery with CN2-SD
inferredcites →https://doi.org/10.5555/1577069.1577083openalex-snapshot
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/aaai.12081openalex-snapshot
Seq2Pat: Sequence‐to‐pattern generation to bridge pattern mining with machine learning
inferred← citeshttps://doi.org/10.1002/advs.202301020openalex-snapshot
Machine Learning Descriptors for Data‐Driven Catalysis Study
inferred← citeshttps://doi.org/10.1002/widm.1231openalex-snapshot
An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects
inferred← citeshttps://doi.org/10.1007/978-1-4614-7163-9_110194-1openalex-snapshot
Community Detection and Analysis on Attributed Social Networks
inferred← citeshttps://doi.org/10.1007/978-1-4939-7131-2_110194openalex-snapshot
Community Detection and Analysis on Attributed Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-00374-6_27openalex-snapshot
Risk Factors for Development of Antibiotic Resistance of Enterococcus Faecium to Vancomycin. A Subgroup Discovery Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-00801-7_7openalex-snapshot
Declarative Aspects in Explicative Data Mining for Computational Sensemaking
inferred← citeshttps://doi.org/10.1007/978-3-030-01771-2_17openalex-snapshot
Compositional Subgroup Discovery on Attributed Social Interaction Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-01851-1_44openalex-snapshot
Identifying Exceptional Descriptions of People Using Topic Modeling and Subgroup Discovery
inferred← citeshttps://doi.org/10.1007/978-3-030-01851-1_7openalex-snapshot
Knowledge-Based Mining of Exceptional Patterns in Logistics Data: Approaches and Experiences in an Industry 4.0 Context
inferred← citeshttps://doi.org/10.1007/978-3-030-03496-2_11openalex-snapshot
Mining Attributed Interaction Networks on Industrial Event Logs
inferred← citeshttps://doi.org/10.1007/978-3-030-10997-4_46openalex-snapshot
pysubgroup: Easy-to-Use Subgroup Discovery in Python
inferred← citeshttps://doi.org/10.1007/978-3-030-30244-3_38openalex-snapshot
Mining Exceptional Social Behaviour
inferred← citeshttps://doi.org/10.1007/978-3-030-33778-0_26openalex-snapshot
A Framework for Human-Centered Exploration of Complex Event Log Graphs
inferred← citeshttps://doi.org/10.1007/978-3-030-46714-2_4openalex-snapshot
Finding Maximal Non-redundant Association Rules in Tennis Data
inferred← citeshttps://doi.org/10.1007/978-3-030-65742-0_3openalex-snapshot
Generalized Chronicles for Temporal Sequence Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-67658-2_2openalex-snapshot
Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL
inferred← citeshttps://doi.org/10.1007/978-3-030-75018-3_32openalex-snapshot
DISDi: Discontinuous Intervals in Subgroup Discovery
inferred← citeshttps://doi.org/10.1007/978-3-030-81200-3_8openalex-snapshot
Finding the TMS-Targeted Group of Fibers Reconstructed from Diffusion MRI Data
inferred← citeshttps://doi.org/10.1007/978-3-030-86472-9_2openalex-snapshot
Subgroup Discovery with Consecutive Erosion on Discontinuous Intervals
inferred← citeshttps://doi.org/10.1007/978-3-030-88942-5_34openalex-snapshot
Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data
inferred← citeshttps://doi.org/10.1007/978-3-030-93733-1_29openalex-snapshot
Supervised Clustering for Subgroup Discovery: An Application to COVID-19 Symptomatology
inferred← citeshttps://doi.org/10.1007/978-3-031-01333-1_26openalex-snapshot
Efficient Subgroup Discovery Through Auto-Encoding
inferred← citeshttps://doi.org/10.1007/978-3-031-18840-4_18openalex-snapshot
Predicting User Dropout from Their Online Learning Behavior
inferred← citeshttps://doi.org/10.1007/978-3-031-23618-1_29openalex-snapshot
Simple Explanations to Summarise Subgroup Discovery Outcomes: A Case Study Concerning Patient Phenotyping
inferred← citeshttps://doi.org/10.1007/978-3-031-27527-2_8openalex-snapshot
Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery
inferred← citeshttps://doi.org/10.1007/978-3-031-30047-9_21openalex-snapshot
Discovering Diverse Top-K Characteristic Lists
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An Optimization Approach for Optimizing PRIM’s Randomly Generated Rules Using the Genetic Algorithm
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Exploring Dataset Patterns for New Demand Response Participants Classification
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Explaining the Behavior of Reinforcement Learning Agents Using Association Rules
inferred← citeshttps://doi.org/10.1007/978-3-031-50396-2_19openalex-snapshot
Subgroup Discovery with SD4Py
inferred← citeshttps://doi.org/10.1007/978-3-031-50485-3_2openalex-snapshot
Post–mining on Association Rule Bases
inferred← citeshttps://doi.org/10.1007/978-3-031-65627-9_11openalex-snapshot
SMLP: Symbolic Machine Learning Prover
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nuggets: Data Pattern Extraction Framework in R
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A Reproducibility Study of Subgroup Discovery Algorithms
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Utility vs Usability: Towards a Search for Balance in Subgroup Discovery Problems
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Low Birth Weight in Brazil Vulnerable Groups: An Analysis Based on Data Mining and Big Data
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Local Subgroup Discovery on Attributed Network Graphs
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DAF: An Extensible DINOS-Based Framework for Subgroup Discovery
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Subgroup Discovery Using Model Uncertainty: A Feasibility Study
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Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space
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Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
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VIPER – Visual Pattern Explorer
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Data Mining with Histograms – A Case Study
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Collective Sensing Platforms
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Applications for Environmental Sensing in EveryAware
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Formation and Temporal Evolution of Social Groups During Coffee Breaks
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Supervised Local Pattern Mining
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Mining Exceptional Relationships Between Patterns
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Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media
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Big Data-Driven Materials Science and Its FAIR Data Infrastructure
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Big Data-Driven Materials Science and Its FAIR Data Infrastructure
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Local Exceptionality Detection on Social Interaction Networks
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Subgroup Discovery in Process Mining
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Descriptive Community Detection
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Explaining Deviating Subsets Through Explanation Networks
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Business Process Deviance Mining
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Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum
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Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning
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Learning Interpretable Rules for Multi-Label Classification
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Introduction to Supervised Descriptive Pattern Mining
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Anomaly Detection and Structural Analysis in Industrial Production Environments
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Identifikation relevanter Zusammenhänge in Daten mit maschinellem Lernen
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Identification of Relevant Relationships in Data Using Machine Learning
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Introduction to Data Mining
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The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding
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Fast exhaustive subgroup discovery with numerical target concepts
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Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery
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Identifying exceptional (dis)agreement between groups
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Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling
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Efficient mining of the most significant patterns with permutation testing
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For real: a thorough look at numeric attributes in subgroup discovery
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Mining explainable local and global subgraph patterns with surprising densities
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Mining communities and their descriptions on attributed graphs: a survey
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Methods for explaining Top-N recommendations through subgroup discovery
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A novel algorithm for mining couples of enhanced association rules based on the number of output couples and its application
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Data- & compute-efficient deviance mining via active learning and fast ensembles
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Social studies of scholarly life with sensor-based ethnographic observations
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Finding Interpretable Data Pockets in Tabular Data
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Identifying Outstanding Transition-Metal-Alloy Heterogeneous Catalysts for the Oxygen Reduction and Evolution Reactions via Subgroup Discovery
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What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules
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Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study
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MinerLSD: efficient mining of local patterns on attributed networks
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Simplicial complexes in network intrusion profiling: pattern construction through simplicial centralities
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Assessing systematic weaknesses of DNNs using counterfactuals
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A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data
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Accelerating pattern mining on fuzzy data by packing truth values into blocks of bits
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CausalPrism: A visual analytics approach for subgroup-based causal heterogeneity exploration
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Machine-Learning-Aided Prediction of Brain Metastases Development in Non–Small-Cell Lung Cancers
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MatSub: A performance-oriented subgroup discovery framework for materials informatics
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A federated analytics framework for interpretable subgroup discovery and rule-based decision support from medical image data
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Refinement and selection heuristics in subgroup discovery and classification rule learning
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A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data
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Finding characteristics of exceptional breast cancer subpopulations using subgroup mining and statistical test
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Significance-based discriminative sequential pattern mining
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Explicit and implicit measures of emotions: Data-science might help to account for data complexity and heterogeneity
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Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty
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Description-oriented community detection using exhaustive subgroup discovery
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EsmamDS: A more diverse exceptional survival model mining approach
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DASSD: Dynamic and adaptive subgroup set discovery with redundancy control
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Explaining data with descriptions
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A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy
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Subgroup discovery similarity score (SDSS): A significant criterion for the integration of statistical knowledge into machine learning in materials science
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From fidelity to modelability: Advancing electronic band gap prediction of materials with AI diagnostics
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E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments
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Training neural networks end-to-end for hyperbox-based classification
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StimVis: A tool for interactive computation of the TMS-induced effects over tractography data
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Artificial-intelligence-assisted design principle for developing high-performance single-atom catalysts
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Extended High-Utility Pattern Mining: An Answer Set Programming-Based Framework and Applications
inferred← citeshttps://doi.org/10.1021/accountsmr.5c00319openalex-snapshot
Data-Driven Electrocatalyst Discovery: Recent Trends in Machine Learning Approaches and Descriptor-Based Design Principles
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Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery
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Machine Learning: A New Paradigm in Computational Electrocatalysis
inferred← citeshttps://doi.org/10.1021/acs.jproteome.7b00054openalex-snapshot
A Computational Selection of Metabolite Biomarkers Using Emerging Pattern Mining: A Case Study in Human Hepatocellular Carcinoma
inferred← citeshttps://doi.org/10.1021/acscatal.1c04793openalex-snapshot
Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence
inferred← citeshttps://doi.org/10.1021/acscatal.2c02149openalex-snapshot
High-Throughput Screening of Stable Single-Atom Catalysts in CO 2 Reduction Reactions
inferred← citeshttps://doi.org/10.1021/acscatal.4c02103openalex-snapshot
Data-driven Design of Catalytic Materials in Methane Oxidation Based on a Site Isolation Concept
inferred← citeshttps://doi.org/10.1021/acscatal.5c02226openalex-snapshot
Modeling Time-On-Stream Catalyst Reactivity in the Selective Hydrogenation of Concentrated Acetylene Streams under Industrial Conditions via Experiments and AI
inferred← citeshttps://doi.org/10.1021/jacs.6c05832openalex-snapshot
Electron-Counting Controls Bifunctional Activity in Single-Atom Catalysts through a Three-Regime Adsorption Mechanism
inferred← citeshttps://doi.org/10.1038/s41467-020-17112-9openalex-snapshot
Identifying domains of applicability of machine learning models for materials science
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Single-atom alloy catalysts designed by first-principles calculations and artificial intelligence
inferred← citeshttps://doi.org/10.1038/s41467-022-28042-zopenalex-snapshot
Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides
inferred← citeshttps://doi.org/10.1038/s41929-022-00744-zopenalex-snapshot
Interpretable machine learning for knowledge generation in heterogeneous catalysis
inferred← citeshttps://doi.org/10.1039/d3nr05950bopenalex-snapshot
Unraveling the formation of oxygen vacancies on the surface of transition metal-doped ceria utilizing artificial intelligence
inferred← citeshttps://doi.org/10.1075/ahs.7.02saiopenalex-snapshot
Exploring part-of-speech frequencies in a sociohistorical corpus of English
inferred← citeshttps://doi.org/10.1080/09298215.2017.1353637openalex-snapshot
Supervised descriptive pattern discovery in Native American music
inferred← citeshttps://doi.org/10.1088/1367-2630/aa57c2openalex-snapshot
Uncovering structure-property relationships of materials by subgroup discovery
inferred← citeshttps://doi.org/10.1093/gerona/glaa278openalex-snapshot
Development of Multimorbidity Over Time: An Analysis of Belgium Primary Care Data Using Markov Chains and Weighted Association Rule Mining
inferred← citeshttps://doi.org/10.1097/nnr.0000000000000597openalex-snapshot
Latent Profile/Class Analysis Identifying Differentiated Intervention Effects
inferred← citeshttps://doi.org/10.1101/2022.03.31.22273233openalex-snapshot
AI-Driven Longitudinal Characterization of Neonatal Health and Morbidity
inferred← citeshttps://doi.org/10.1103/frb9-6w4popenalex-snapshot
Unveiling nonlinear descriptors via hierarchical learning for single-atom catalysts
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Continuous black-box optimization with an Ising machine and random subspace coding
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On the Selection and Use of Implicit Measures in Marketing Research: A Utilitarian Taxonomy
inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678697openalex-snapshot
How Can Subgroup Discovery Help AIOps?
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"What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis
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Detecting community patterns capturing exceptional link trails
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Subgroup Discovery Method Based on User Behavior Analysis
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SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases
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A Multivariate Method for Group Profiling Using Subgroup Discovery
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SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data
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Statistically-Sound Knowledge Discovery from Data: Challenges and Directions
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Investigating CLIP Performance for Meta-data Generation in AD Datasets
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Range Analysis and Applications to Root Causing
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Why Should I Trust This Item? Explaining the Recommendations of any Model
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Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery
inferred← citeshttps://doi.org/10.1109/dsaa60987.2023.10302465openalex-snapshot
Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery
inferred← citeshttps://doi.org/10.1109/dsaa60987.2023.10302625openalex-snapshot
Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study
inferred← citeshttps://doi.org/10.1109/fiot.2018.8325593openalex-snapshot
Analyzing group interaction on networks of face-to-face proximity using wearable sensors
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Explicative human activity recognition using adaptive association rule-based classification
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SuRF: Identification of Interesting Data Regions with Surrogate Models
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00062openalex-snapshot
Query-Driven Data Exploration with Heterogeneous Treatment Effects
inferred← citeshttps://doi.org/10.1109/icdm.2017.29openalex-snapshot
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00147openalex-snapshot
Estimating the Pruned Search Space Size of Subgroup Discovery
inferred← citeshttps://doi.org/10.1109/icdmw.2018.00040openalex-snapshot
MinerLSD: Efficient Local Pattern Mining on Attributed Graphs
inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00126openalex-snapshot
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data
inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00159openalex-snapshot
Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets
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Deviance-Aware Discovery of High Quality Process Models
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Defining software architectures for big data enabled operator support systems
inferred← citeshttps://doi.org/10.1109/mis.2017.3121555openalex-snapshot
Sentiment Analysis in TripAdvisor
inferred← citeshttps://doi.org/10.1109/ssci.2018.8628933openalex-snapshot
Identifying flight delay patterns using diverse subgroup discovery
inferred← citeshttps://doi.org/10.1109/tkde.2019.2931340openalex-snapshot
User-driven geolocated event detection in social media
inferred← citeshttps://doi.org/10.1109/vahc57815.2022.10108527openalex-snapshot
Patterns of Social Vulnerability - An Interactive Dashboard to Explore Risks to Public Health on the US County Level
inferred← citeshttps://doi.org/10.1111/exsy.12686openalex-snapshot
“Want to come play with me?” Outlier subgroup discovery on spatio‐temporal interactions
inferred← citeshttps://doi.org/10.1126/scitranslmed.adc9854openalex-snapshot
Data-driven longitudinal characterization of neonatal health and morbidity
inferred← citeshttps://doi.org/10.1142/s0218213018600096openalex-snapshot
Deviance-Aware Discovery of High-Quality Process Models
inferred← citeshttps://doi.org/10.1145/2808797.2810060openalex-snapshot
Is Web Content a Good Proxy for Real-Life Interaction?
inferred← citeshttps://doi.org/10.1145/2939672.2939752openalex-snapshot
Mining Subgroups with Exceptional Transition Behavior
inferred← citeshttps://doi.org/10.1145/2968219.2968437openalex-snapshot
Analyzing group interaction and dynamics on socio-behavioral networks of face-to-face proximity
inferred← citeshttps://doi.org/10.1145/2968219.2968438openalex-snapshot
Sensing, processing and analytics
inferred← citeshttps://doi.org/10.1145/3019612.3019660openalex-snapshot
A descriptive clustering approach to the analysis of quantitative business-process deviances
inferred← citeshttps://doi.org/10.1145/3219819.3219997openalex-snapshot
Efficient Mining of the Most Significant Patterns with Permutation Testing
inferred← citeshttps://doi.org/10.1145/3292500.3332286openalex-snapshot
Hypothesis Testing and Statistically-sound Pattern Mining
inferred← citeshttps://doi.org/10.1145/3308560.3316707openalex-snapshot
Onto Model-based Anomalous Link Pattern Mining on Feature-Rich Social Interaction Networks
inferred← citeshttps://doi.org/10.1145/3308560.3320098openalex-snapshot
Modeling and Mining Feature-Rich Networks
inferred← citeshttps://doi.org/10.1145/3335783.3335797openalex-snapshot
Informative Summarization of Numeric Data
inferred← citeshttps://doi.org/10.1145/3448016.3457301openalex-snapshot
REDS: Rule Extraction for Discovering Scenarios
inferred← citeshttps://doi.org/10.1145/3468264.3468614openalex-snapshot
Explaining mispredictions of machine learning models using rule induction
inferred← citeshttps://doi.org/10.1145/3637528.3671827openalex-snapshot
Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization
inferred← citeshttps://doi.org/10.1145/3637528.3671951openalex-snapshot
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
inferred← citeshttps://doi.org/10.1145/3711896.3737200openalex-snapshot
Characterizing the Risk of Atrial Fibrillation in Cardiac Patients with Exceptional Electrocardiogram Phenotypes
inferred← citeshttps://doi.org/10.1145/3725358openalex-snapshot
Subgroup Discovery with Small and Alternative Feature Sets
inferred← citeshttps://doi.org/10.1177/14604582241291379openalex-snapshot
Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction
inferred← citeshttps://doi.org/10.1186/s40064-016-1692-9openalex-snapshot
Evolutionary approach to violating group anonymity using third-party data
inferred← citeshttps://doi.org/10.1287/ijoc.2021.1143openalex-snapshot
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects
inferred← citeshttps://doi.org/10.14778/3675034.3675055openalex-snapshot
Efficient Discovery of Significant Patterns with Few-Shot Resampling
inferred← citeshttps://doi.org/10.20517/jmi.2026.63openalex-snapshot
Reaction-anchored generative informatics for million-scale CO2 catalyst screening via multi-adsorbate constraints
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3228261/v1openalex-snapshot
Expert deduction rules in data mining with association rules: new results and challenges
inferred← citeshttps://doi.org/10.21248/gups.91267openalex-snapshot
Entwicklung eines auf klinischen und (molekular-)pathologischen Merkmalen basierenden Machine Learning Modells für die Prädiktion von Hirnmetastasen im Krankheitsverlauf von Patienten mit nicht-kleinzelligen Lungenkarzinomen
inferred← citeshttps://doi.org/10.2139/ssrn.6097180openalex-snapshot
Mining for Elastic Insights: Elasticity Modeling via Exceptional Model Mining
inferred← citeshttps://doi.org/10.23919/ccc55666.2022.9902132openalex-snapshot
ReliefSD: Selecting Numerical Features for Fast Subgroup Discovery
inferred← citeshttps://doi.org/10.3233/ida-194719openalex-snapshot
Uni- and multivariate probability density models for numeric subgroup discovery
inferred← citeshttps://doi.org/10.3233/ida-216436openalex-snapshot
SUWAN: A supervised clustering algorithm with attributed networks
inferred← citeshttps://doi.org/10.32614/cran.package.nuggetsopenalex-snapshot
nuggets: Fast and Extensible Pattern Discovery in Tabular Data
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