Albrecht Zimmermann

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 31

Top Venues

CoRR

Data Min. Knowl. Discov.

Big Data

IDA

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Etienne Lehembre, Bruno Crémilleux, Albrecht Zimmermann, Bertrand Cuissart, Abdelkader Ouali
WaveLSea: helping experts interactively explore pattern mining search spaces. Data Min. Knowl. Discov. 38 (4) (2024)
Maksim Koptelov, Albrecht Zimmermann, Patrice Boizumault, Ronan Bureau, Jean Luc Lamotte
Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data. IDA (2023)
Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann
Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. PAKDD (1) (2023)
Etienne Lehembre, Johanna Giovannini, Damien Geslin, Alban Lepailleur, Jean Luc Lamotte, David Auber, Abdelkader Ouali, Bruno Crémilleux, Albrecht Zimmermann, Bertrand Cuissart, Ronan Bureau
Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta. J. Cheminformatics 15 (1) (2023)
Albrecht Zimmermann
Chance and the Predictive Limit in Basketball (Both College and Professional). DS (2023)
Etienne Lehembre, Bruno Crémilleux, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann
Wave k-Top d-Random Family Search : comment guider un expert dans un espace structuré. EGC (2023)
Etienne Lehembre, Jean Luc Lamotte, Christophe Couronne, Bruno Crémilleux, Jean-Luc Manguin, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann
Identification de concepts remarquables à partir de leur voisinage dans un treillis. EGC (2022)
Etienne Lehembre, Ronan Bureau, Bruno Crémilleux, Bertrand Cuissart, Jean Luc Lamotte, Alban Lepailleur, Abdelkader Ouali, Albrecht Zimmermann
Selecting Outstanding Patterns Based on Their Neighbourhood. IDA (2022)
Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann
Exploiting complex pattern features for interactive pattern mining. CoRR (2022)
Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina Fatima Soualmia
LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks. Appl. Netw. Sci. 6 (1) (2021)
Martin Atzmueller, Stephan Günnemann, Albrecht Zimmermann
Mining communities and their descriptions on attributed graphs: a survey. Data Min. Knowl. Discov. 35 (3) (2021)
Arnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah, Mohammed El Amine Laghzaoui, Abdelkader Ouali, Albrecht Zimmermann
A Relaxation-Based Approach for Mining Diverse Closed Patterns. ECML/PKDD (1) (2020)
Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina Soualmia
Link prediction via community detection in bipartite multi-layer graphs. SAC (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (5) (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (6) (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (4) (2020)
Christophe Couronne, Maksim Koptelov, Albrecht Zimmermann
PrePeP: A Light-Weight, Extensible Tool for Predicting Frequent Hitters. ECML/PKDD (5) (2020)
Albrecht Zimmermann
Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey. WIREs Data Mining Knowl. Discov. 10 (2) (2020)
David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Crémilleux, Sylvain Pluchon
Using Data Science to Improve the Identification of Plant Nutritional Status. DSAA (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). EDML@SDM (2019)
Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux
Link Prediction in Multi-layer Networks and Its Application to Drug Design. IDA (2018)
Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann
Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse). CORIA-TALN-RJC (TALN 2) (2018)
Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann
An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse. CICLing (1) (2018)
Maksim Koptelov, Albrecht Zimmermann, Pascal Bonnet, Ronan Bureau, Bruno Crémilleux
PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds. KDD (2018)
Abdelkader Ouali, Albrecht Zimmermann, Samir Loudni, Yahia Lebbah, Bruno Crémilleux, Patrice Boizumault, Lakhdar Loukil
Integer Linear Programming for Pattern Set Mining; with an Application to Tiling. PAKDD (2) (2017)
Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet
Exceptional contextual subgraph mining. Mach. Learn. 106 (8) (2017)
Albrecht Zimmermann
Wages of wins: could an amateur make money from match outcome predictions? CoRR (2017)
Ulf Brefeld, Albrecht Zimmermann
Guest editorial: Special issue on sports analytics. Data Min. Knowl. Discov. 31 (6) (2017)
Albrecht Zimmermann
Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions? MLSA@PKDD/ECML (2016)
Abdelkader Ouali, Samir Loudni, Yahia Lebbah, Patrice Boizumault, Albrecht Zimmermann, Lakhdar Loukil
Efficiently Finding Conceptual Clustering Models with Integer Linear Programming. IJCAI (2016)
Albrecht Zimmermann
Basketball predictions in the NCAAB and NBA: Similarities and differences. Stat. Anal. Data Min. 9 (5) (2016)
Albrecht Zimmermann
Objectively evaluating condensed representations and interestingness measures for frequent itemset mining. J. Intell. Inf. Syst. 45 (3) (2015)
Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Profiling Users of the Velo'v Bike Sharing System. MUD@ICML (2015)
Albrecht Zimmermann, Björn Bringmann, Luc De Raedt
Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling. CoRR (2015)
Albrecht Zimmermann
Exploring Chance in NCAA Basketball. MLSA@PKDD/ECML (2015)
Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet
Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. ECML/PKDD (3) (2015)
Albrecht Zimmermann
Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data. Intell. Data Anal. 18 (5) (2014)
Albrecht Zimmermann
The Data Problem in Data Mining. SIGKDD Explor. 16 (2) (2014)
Albrecht Zimmermann
A feature construction framework based on outlier detection and discriminative pattern mining. CoRR (2014)
Albrecht Zimmermann
Objectively Evaluating Interestingness Measures for Frequent Itemset Mining. PAKDD Workshops (2013)
Jan Lemeire, Stijn Meganck, Albrecht Zimmermann, Thomas Dhollander
Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure. ECSQARU (2013)
Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi
Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned. MLSA@PKDD/ECML (2013)
Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned. CoRR (2013)
Albrecht Zimmermann
Generating Diverse Realistic Data Sets for Episode Mining. ICDM Workshops (2012)
Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann
Pattern-Based Classification: A Unifying Perspective CoRR (2011)
Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt
Declarative Heuristic Search for Pattern Set Mining. ICDM Workshops (2011)
Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert
Fast, Effective Molecular Feature Mining by Local Optimization. ECML/PKDD (3) (2010)
Björn Bringmann, Albrecht Zimmermann
One in a million: picking the right patterns. Knowl. Inf. Syst. 18 (1) (2009)
Albrecht Zimmermann, Luc De Raedt
Cluster-grouping: from subgroup discovery to clustering. Mach. Learn. 77 (1) (2009)
Albrecht Zimmermann, Björn Bringmann
Aggregated Subset Mining. PAKDD (2009)
Albrecht Zimmermann
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees. Discovery Science (2008)
Björn Bringmann, Albrecht Zimmermann
The Chosen Few: On Identifying Valuable Patterns. ICDM (2007)
Luc De Raedt, Albrecht Zimmermann
Constraint-Based Pattern Set Mining. SDM (2007)
Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen
Don't Be Afraid of Simpler Patterns. PKDD (2006)
Albrecht Zimmermann, Björn Bringmann
CTC - Correlating Tree Patterns for Classification. ICDM (2005)
Björn Bringmann, Albrecht Zimmermann
- Decision Trees for Tree Structured Data. PKDD (2005)
Björn Bringmann, Albrecht Zimmermann
- Decision Trees for Tree Structured Data. LWA (2005)
Albrecht Zimmermann, Luc De Raedt
Inductive Querying for Discovering Subgroups and Clusters. Constraint-Based Mining and Inductive Databases (2004)
Albrecht Zimmermann, Luc De Raedt
CorClass: Correlated Association Rule Mining for Classification. Discovery Science (2004)
Albrecht Zimmermann, Luc De Raedt
Cluster-Grouping: From Subgroup Discovery to Clustering. ECML (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Albrecht Zimmermann