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ORCIDAlbrecht Zimmermann
Person information
- affiliation: Université de Caen Normandie, France
- affiliation (former): INSA Lyon, France
- affiliation (former): Catholic University Leuven, Belgium
- affiliation (former): University of Freiburg, Germany
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2020 – today
- 2024
[j17]Arnold Hien
, Noureddine Aribi, Samir Loudni, Yahia Lebbah, Abdelkader Ouali, Albrecht Zimmermann:
Mining diverse sets of patterns with constraint programming using the pairwise Jaccard similarity relaxation. Constraints An Int. J. 29(1-2): 80-111 (2024)- [j16]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): 2403-2439 (2024) - [c42]Arnold Hien, Samir Loudni, Maxime Garfagni, Albrecht Zimmermann, Nicolas Beldiceanu:
Fouille Interactive de Motifs à Haute Utilité. EGC 2024: 303-310 - [c41]Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann:
Nouveaux Descripteurs Discriminants pour la Fouille Interactive de Motifs. EGC 2024: 409-416 - [c40]Albrecht Zimmermann:
Learning Predictive Models for Match Outcomes in US Sports, and Using Them to Bet. ISACE 2024: 313-327 - 2023
- [j15]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): 116 (2023) - [c39]Albrecht Zimmermann:
Chance and the Predictive Limit in Basketball (Both College and Professional). DS 2023: 599-613 - [c38]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: 103-114 - [c37]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: 208-221 - [c36]Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann:
Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. PAKDD (1) 2023: 252-263 - [c35]Etienne Lehembre, Bruno Crémilleux, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann:
Wave Top-k Random-d Family Search: How to Guide an Expert in a Structured Pattern Space. PKDD/ECML Workshops (3) 2023: 104-119 - [e9]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1783, Springer 2023, ISBN 978-3-031-27526-5 [contents] - 2022
- [c34]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: 473-474 - [c33]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: 185-198 - [e8]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers. Communications in Computer and Information Science 1571, Springer 2022, ISBN 978-3-031-02043-8 [contents] - [i6]Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann:
Exploiting complex pattern features for interactive pattern mining. CoRR abs/2204.04242 (2022) - 2021
- [j14]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): 72 (2021) - [j13]Martin Atzmueller, Stephan Günnemann, Albrecht Zimmermann:
Mining communities and their descriptions on attributed graphs: a survey. Data Min. Knowl. Discov. 35(3): 661-687 (2021) - 2020
- [j12]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): 253-254 (2020) - [j11]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): 456-457 (2020) - [j10]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): 546-547 (2020) - [j9]Albrecht Zimmermann:
Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey. WIREs Data Mining Knowl. Discov. 10(2) (2020) - [c32]David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Crémilleux, Sylvain Pluchon:
Using Data Science to Improve the Identification of Plant Nutritional Status. DSAA 2020: 496-505 - [c31]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: 36-54 - [c30]Christophe Couronne, Maksim Koptelov, Albrecht Zimmermann:
PrePeP: A Light-Weight, Extensible Tool for Predicting Frequent Hitters. ECML/PKDD (5) 2020: 570-573 - [c29]Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina Soualmia:
Link prediction via community detection in bipartite multi-layer graphs. SAC 2020: 430-439 - [e7]Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [e6]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1324, Springer 2020, ISBN 978-3-030-64911-1 [contents]
2010 – 2019
- 2019
- [c28]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: 1-3 - [e5]Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Machine Learning and Data Mining for Sports Analytics - 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings. Lecture Notes in Computer Science 11330, Springer 2019, ISBN 978-3-030-17273-2 [contents] - [e4]Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann:
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), Calgary, Alberta, Canada, May 4th, 2019. CEUR Workshop Proceedings 2436, CEUR-WS.org 2019 [contents] - 2018
- [c27]Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann:
An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse. CICLing (1) 2018: 180-192 - [c26]Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux:
Link Prediction in Multi-layer Networks and Its Application to Drug Design. IDA 2018: 175-187 - [c25]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: 462-471 - [c24]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: 465-472 - 2017
- [j8]Ulf Brefeld, Albrecht Zimmermann:
Guest editorial: Special issue on sports analytics. Data Min. Knowl. Discov. 31(6): 1577-1579 (2017) - [j7]Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet:
Exceptional contextual subgraph mining. Mach. Learn. 106(8): 1171-1211 (2017) - [c23]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: 286-299 - [e3]Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 11th, 2015. CEUR Workshop Proceedings 1970, CEUR-WS.org 2017 [contents] - [e2]Jesse Davis, Mehdi Kaytoue, Albrecht Zimmermann:
Proceedings of the 4th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18th, 2017. CEUR Workshop Proceedings 1971, CEUR-WS.org 2017 [contents] - [i5]Albrecht Zimmermann:
Wages of wins: could an amateur make money from match outcome predictions? CoRR abs/1702.05982 (2017) - 2016
- [j6]Albrecht Zimmermann:
Basketball predictions in the NCAAB and NBA: Similarities and differences. Stat. Anal. Data Min. 9(5): 350-364 (2016) - [c22]Abdelkader Ouali, Samir Loudni, Yahia Lebbah, Patrice Boizumault, Albrecht Zimmermann, Lakhdar Loukil:
Efficiently Finding Conceptual Clustering Models with Integer Linear Programming. IJCAI 2016: 647-654 - [c21]Albrecht Zimmermann:
Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions? MLSA@PKDD/ECML 2016 - 2015
- [j5]Albrecht Zimmermann:
Objectively evaluating condensed representations and interestingness measures for frequent itemset mining. J. Intell. Inf. Syst. 45(3): 299-317 (2015) - [c20]Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Profiling Users of the Velo'v Bike Sharing System. MUD@ICML 2015: 63-64 - [c19]Albrecht Zimmermann:
Exploring Chance in NCAA Basketball. MLSA@PKDD/ECML 2015: 65-76 - [c18]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: 276-280 - [i4]Albrecht Zimmermann, Björn Bringmann, Luc De Raedt:
Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling. CoRR abs/1501.03015 (2015) - 2014
- [j4]Albrecht Zimmermann:
Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data. Intell. Data Anal. 18(5): 761-791 (2014) - [j3]Albrecht Zimmermann:
The Data Problem in Data Mining. SIGKDD Explor. 16(2): 38-45 (2014) - [p3]Siegfried Nijssen, Albrecht Zimmermann:
Constraint-Based Pattern Mining. Frequent Pattern Mining 2014: 147-163 - [p2]Albrecht Zimmermann, Siegfried Nijssen:
Supervised Pattern Mining and Applications to Classification. Frequent Pattern Mining 2014: 425-442 - [i3]Albrecht Zimmermann:
A feature construction framework based on outlier detection and discriminative pattern mining. CoRR abs/1407.4668 (2014) - 2013
- [c17]Jan Lemeire, Stijn Meganck, Albrecht Zimmermann, Thomas Dhollander:
Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure. ECSQARU 2013: 376-387 - [c16]Albrecht Zimmermann:
Objectively Evaluating Interestingness Measures for Frequent Itemset Mining. PAKDD Workshops 2013: 354-366 - [c15]Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi:
Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned. MLSA@PKDD/ECML 2013: 69-78 - [e1]Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), Prague, Czech Republic, September 27th, 2013. CEUR Workshop Proceedings 1969, CEUR-WS.org 2013 [contents] - [i2]Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi:
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned. CoRR abs/1310.3607 (2013) - 2012
- [c14]Albrecht Zimmermann:
Generating Diverse Realistic Data Sets for Episode Mining. ICDM Workshops 2012: 611-618 - 2011
- [c13]Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt:
Declarative Heuristic Search for Pattern Set Mining. ICDM Workshops 2011: 1104-1111 - [i1]Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann:
Pattern-Based Classification: A Unifying Perspective. CoRR abs/1111.6191 (2011) - 2010
- [c12]Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert:
Fast, Effective Molecular Feature Mining by Local Optimization. ECML/PKDD (3) 2010: 563-578 - [p1]Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann:
From Local Patterns to Classification Models. Inductive Databases and Constraint-Based Data Mining 2010: 127-154
2000 – 2009
- 2009
- [b1]Albrecht Zimmermann:
Mining Sets of Patterns (Zoeken naar verzamelingen van patronen). Katholieke Universiteit Leuven, Belgium, 2009 - [j2]Björn Bringmann, Albrecht Zimmermann:
One in a million: picking the right patterns. Knowl. Inf. Syst. 18(1): 61-81 (2009) - [j1]Albrecht Zimmermann, Luc De Raedt:
Cluster-grouping: from subgroup discovery to clustering. Mach. Learn. 77(1): 125-159 (2009) - [c11]Albrecht Zimmermann, Björn Bringmann:
Aggregated Subset Mining. PAKDD 2009: 664-672 - 2008
- [c10]Albrecht Zimmermann:
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees. Discovery Science 2008: 76-87 - 2007
- [c9]Björn Bringmann, Albrecht Zimmermann:
The Chosen Few: On Identifying Valuable Patterns. ICDM 2007: 63-72 - [c8]Luc De Raedt, Albrecht Zimmermann:
Constraint-Based Pattern Set Mining. SDM 2007: 237-248 - 2006
- [c7]Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen:
Don't Be Afraid of Simpler Patterns. PKDD 2006: 55-66 - 2005
- [c6]Albrecht Zimmermann, Björn Bringmann:
CTC - Correlating Tree Patterns for Classification. ICDM 2005: 833-836 - [c5]Björn Bringmann, Albrecht Zimmermann:
Tree2 - Decision Trees for Tree Structured Data. LWA 2005: 139-144 - [c4]Björn Bringmann, Albrecht Zimmermann:
Tree2 - Decision Trees for Tree Structured Data. PKDD 2005: 46-58 - 2004
- [c3]Albrecht Zimmermann, Luc De Raedt:
Inductive Querying for Discovering Subgroups and Clusters. Constraint-Based Mining and Inductive Databases 2004: 380-399 - [c2]Albrecht Zimmermann, Luc De Raedt:
CorClass: Correlated Association Rule Mining for Classification. Discovery Science 2004: 60-72 - [c1]Albrecht Zimmermann, Luc De Raedt:
Cluster-Grouping: From Subgroup Discovery to Clustering. ECML 2004: 575-577
Coauthor Index
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