Inductive Querying for Discovering Subgroups and Clusters. - Albrecht Zimmermann; Luc De Raedt (Constraint-Based Mining and Inductive Databases, 2004)

CorClass: Correlated Association Rule Mining for Classification. - Albrecht Zimmermann; Luc De Raedt (Discovery Science, 2004)

CTC - Correlating Tree Patterns for Classification. - Albrecht Zimmermann; Björn Bringmann (ICDM, 2005)

Tree2 - Decision Trees for Tree Structured Data. - Björn Bringmann; Albrecht Zimmermann (PKDD, 2005)

Don't Be Afraid of Simpler Patterns. - Björn Bringmann; Albrecht Zimmermann; Luc De Raedt; Siegfried Nijssen (PKDD, 2006)

The Chosen Few: On Identifying Valuable Patterns. - Björn Bringmann; Albrecht Zimmermann (ICDM, 2007)

Constraint-Based Pattern Set Mining. - Luc De Raedt; Albrecht Zimmermann (SDM, 2007)

Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees. - Albrecht Zimmermann (Discovery Science, 2008)

Aggregated Subset Mining. - Albrecht Zimmermann; Björn Bringmann (PAKDD, 2009)

One in a million: picking the right patterns. - Björn Bringmann; Albrecht Zimmermann (Knowl. Inf. Syst., 2009)

Cluster-grouping: from subgroup discovery to clustering. - Albrecht Zimmermann; Luc De Raedt (Mach. Learn., 2009)

Mining Sets of Patterns (Zoeken naar verzamelingen van patronen). - Albrecht Zimmermann (2009)

From Local Patterns to Classification Models. - Björn Bringmann; Siegfried Nijssen; Albrecht Zimmermann (Inductive Databases and Constraint-Based Data Mining, 2010)

Fast, Effective Molecular Feature Mining by Local Optimization. - Albrecht Zimmermann; Björn Bringmann; Ulrich Rückert 002 (ECML/PKDD (3), 2010)

Declarative Heuristic Search for Pattern Set Mining. - Tias Guns; Siegfried Nijssen; Albrecht Zimmermann; Luc De Raedt (ICDM Workshops, 2011)

Pattern-Based Classification: A Unifying Perspective - Björn Bringmann; Siegfried Nijssen; Albrecht Zimmermann (CoRR, 2011)

Generating Diverse Realistic Data Sets for Episode Mining. - Albrecht Zimmermann (ICDM Workshops, 2012)

Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure. - Jan Lemeire; Stijn Meganck; Albrecht Zimmermann; Thomas Dhollander (ECSQARU, 2013)

Objectively Evaluating Interestingness Measures for Frequent Itemset Mining. - Albrecht Zimmermann (PAKDD Workshops, 2013)

Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned. - Albrecht Zimmermann; Sruthi Moorthy; Zifan Shi (MLSA@PKDD/ECML, 2013)

Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned. - Albrecht Zimmermann; Sruthi Moorthy; Zifan Shi (CoRR, 2013)

Constraint-Based Pattern Mining. - Siegfried Nijssen; Albrecht Zimmermann (Frequent Pattern Mining, 2014)

Supervised Pattern Mining and Applications to Classification. - Albrecht Zimmermann; Siegfried Nijssen (Frequent Pattern Mining, 2014)

A feature construction framework based on outlier detection and discriminative pattern mining. - Albrecht Zimmermann (CoRR, 2014)

Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data. - Albrecht Zimmermann (Intell. Data Anal., 2014)

The Data Problem in Data Mining. - Albrecht Zimmermann (SIGKDD Explor., 2014)

Profiling Users of the Velo'v Bike Sharing System. - Albrecht Zimmermann; Mehdi Kaytoue; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (MUD@ICML, 2015)

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. - Pierre Houdyer; Albrecht Zimmermann; Mehdi Kaytoue; Marc Plantevit; Joseph Mitchell; Céline Robardet (ECML/PKDD (3), 2015)

Exploring Chance in NCAA Basketball. - Albrecht Zimmermann (MLSA@PKDD/ECML, 2015)

Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling. - Albrecht Zimmermann; Björn Bringmann; Luc De Raedt (CoRR, 2015)

Objectively evaluating condensed representations and interestingness measures for frequent itemset mining. - Albrecht Zimmermann (J. Intell. Inf. Syst., 2015)

Efficiently Finding Conceptual Clustering Models with Integer Linear Programming. - Abdelkader Ouali; Samir Loudni; Yahia Lebbah; Patrice Boizumault; Albrecht Zimmermann; Lakhdar Loukil (IJCAI, 2016)

Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions? - Albrecht Zimmermann (MLSA@PKDD/ECML, 2016)

Basketball predictions in the NCAAB and NBA: Similarities and differences. - Albrecht Zimmermann (Stat. Anal. Data Min., 2016)

Integer Linear Programming for Pattern Set Mining; with an Application to Tiling. - Abdelkader Ouali; Albrecht Zimmermann; Samir Loudni; Yahia Lebbah; Bruno Crémilleux; Patrice Boizumault; Lakhdar Loukil (PAKDD (2), 2017)

Guest editorial: Special issue on sports analytics. - Ulf Brefeld; Albrecht Zimmermann (Data Min. Knowl. Discov., 2017)

Exceptional contextual subgraph mining. - Mehdi Kaytoue; Marc Plantevit; Albrecht Zimmermann; Ahmed Anes Bendimerad; Céline Robardet (Mach. Learn., 2017)

An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse. - Pegah Alizadeh; Peggy Cellier; Thierry Charnois; Bruno Crémilleux; Albrecht Zimmermann (CICLing (1), 2018)

Link Prediction in Multi-layer Networks and Its Application to Drug Design. - Maksim Koptelov; Albrecht Zimmermann; Bruno Crémilleux (IDA, 2018)

PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds. - Maksim Koptelov; Albrecht Zimmermann; Pascal Bonnet; Ronan Bureau; Bruno Crémilleux (KDD, 2018)

Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse). - Pegah Alizadeh; Peggy Cellier; Thierry Charnois; Bruno Crémilleux; Albrecht Zimmermann (CORIA-TALN-RJC (TALN 2), 2018)

1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). - Eirini Ntoutsi; Erich Schubert; Arthur Zimek; Albrecht Zimmermann (EDML@SDM, 2019)

Using Data Science to Improve the Identification of Plant Nutritional Status. - David Condaminet; Albrecht Zimmermann; Bastien Billiot; Bruno Crémilleux; Sylvain Pluchon (DSAA, 2020)

PrePeP: A Light-Weight, Extensible Tool for Predicting Frequent Hitters. - Christophe Couronne; Maksim Koptelov; Albrecht Zimmermann (ECML/PKDD (5), 2020)

A Relaxation-Based Approach for Mining Diverse Closed Patterns. - Arnold Hien; Samir Loudni; Noureddine Aribi; Yahia Lebbah; Mohammed El Amine Laghzaoui; Abdelkader Ouali; Albrecht Zimmermann (ECML/PKDD (1), 2020)

Link prediction via community detection in bipartite multi-layer graphs. - Maksim Koptelov; Albrecht Zimmermann; Bruno Crémilleux; Lina Soualmia (SAC, 2020)

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. - Eirini Ntoutsi; Erich Schubert; Arthur Zimek; Albrecht Zimmermann (Big Data, 2020)

Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey. - Albrecht Zimmermann (WIREs Data Mining Knowl. Discov., 2020)

Fouille de motifs diversifiés : une approche basée sur la relaxation et l'échantillonnage. - Arnold Hien; Samir Loudni; Noureddine Aribi; Yahia Lebbah; Abdelkader Ouali; Albrecht Zimmermann (CIFSD, 2021)

LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks. - Maksim Koptelov; Albrecht Zimmermann; Bruno Crémilleux; Lina Fatima Soualmia (Appl. Netw. Sci., 2021)

Mining communities and their descriptions on attributed graphs: a survey. - Martin Atzmueller; Stephan Günnemann; Albrecht Zimmermann (Data Min. Knowl. Discov., 2021)

Identification de concepts remarquables à partir de leur voisinage dans un treillis. - Etienne Lehembre; Jean Luc Lamotte; Christophe Couronne; Bruno Crémilleux; Jean-Luc Manguin; Bertrand Cuissart; Abdelkader Ouali; Albrecht Zimmermann (EGC, 2022)

Selecting Outstanding Patterns Based on Their Neighbourhood. - Etienne Lehembre; Ronan Bureau; Bruno Crémilleux; Bertrand Cuissart; Jean Luc Lamotte; Alban Lepailleur; Abdelkader Ouali; Albrecht Zimmermann (IDA, 2022)

Exploiting complex pattern features for interactive pattern mining. - Arnold Hien; Samir Loudni; Noureddine Aribi; Abdelkader Ouali; Albrecht Zimmermann (CoRR, 2022)

Chance and the Predictive Limit in Basketball (Both College and Professional). - Albrecht Zimmermann (DS, 2023)

Wave k-Top d-Random Family Search : comment guider un expert dans un espace structuré. - Etienne Lehembre; Bruno Crémilleux; Bertrand Cuissart; Abdelkader Ouali; Albrecht Zimmermann (EGC, 2023)

Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data. - Maksim Koptelov; Albrecht Zimmermann; Patrice Boizumault; Ronan Bureau; Jean Luc Lamotte (IDA, 2023)

Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. - Arnold Hien; Samir Loudni; Noureddine Aribi; Abdelkader Ouali; Albrecht Zimmermann (PAKDD (1), 2023)

Wave Top-k Random-d Family Search: How to Guide an Expert in a Structured Pattern Space. - Etienne Lehembre; Bruno Crémilleux; Bertrand Cuissart; Abdelkader Ouali; Albrecht Zimmermann (PKDD/ECML Workshops (3), 2023)

Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta. - Etienne Lehembre; Johanna Giovannini; Damien Geslin; Alban Lepailleur; Jean Luc Lamotte; David Auber; Abdelkader Ouali; Bruno Crémilleux; Albrecht Zimmermann; Bertrand Cuissart; Ronan Bureau (J. Cheminformatics, 2023)

Nouveaux Descripteurs Discriminants pour la Fouille Interactive de Motifs. - Arnold Hien; Samir Loudni; Noureddine Aribi; Abdelkader Ouali; Albrecht Zimmermann (EGC, 2024)

Fouille Interactive de Motifs à Haute Utilité. - Arnold Hien; Samir Loudni; Maxime Garfagni; Albrecht Zimmermann; Nicolas Beldiceanu (EGC, 2024)

Learning Predictive Models for Match Outcomes in US Sports, and Using Them to Bet. - Albrecht Zimmermann (ISACE, 2024)

Mining diverse sets of patterns with constraint programming using the pairwise Jaccard similarity relaxation. - Arnold Hien; Noureddine Aribi; Samir Loudni; Yahia Lebbah; Abdelkader Ouali; Albrecht Zimmermann (Constraints An Int. J., 2024)

WaveLSea: helping experts interactively explore pattern mining search spaces. - Etienne Lehembre; Bruno Crémilleux; Albrecht Zimmermann; Bertrand Cuissart; Abdelkader Ouali (Data Min. Knowl. Discov., 2024)