Albrecht Zimmermann

80 papers A* 4A 1B 8C 1Misc 1Journal 23Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Did this Leopard Change his Spots? - Arno Siebes' Publication Trends Found Using Pattern Mining and Itemsets that (Don't) Compress (Very Well). Challenges and Algorithms for Knowledge Discovery from Data Bruno Crémilleux, Justine Reynaud, Arnaud Soulet, Athénaïs Vaginay, Albrecht Zimmermann
2024	—	`conf`	Fouille Interactive de Motifs à Haute Utilité. EGC Arnold Hien, Samir Loudni, Maxime Garfagni, Albrecht Zimmermann, Nicolas Beldiceanu
2024	—	`conf`	Learning Predictive Models for Match Outcomes in US Sports, and Using Them to Bet. ISACE Albrecht Zimmermann
2024	J	`jnl`	Mining diverse sets of patterns with constraint programming using the pairwise Jaccard similarity relaxation. Constraints An Int. J. Arnold Hien, Noureddine Aribi, Samir Loudni, Yahia Lebbah, Abdelkader Ouali, Albrecht Zimmermann
2024	—	`conf`	Nouveaux Descripteurs Discriminants pour la Fouille Interactive de Motifs. EGC Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann
2024	J	`jnl`	WaveLSea: helping experts interactively explore pattern mining search spaces. Data Min. Knowl. Discov. Etienne Lehembre, Bruno Crémilleux, Albrecht Zimmermann, Bertrand Cuissart, Abdelkader Ouali
2023	B	`conf`	Chance and the Predictive Limit in Basketball (Both College and Professional). DS Albrecht Zimmermann
2023	B	`conf`	Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data. IDA Maksim Koptelov, Albrecht Zimmermann, Patrice Boizumault, Ronan Bureau, Jean Luc Lamotte
2023	—	`conf`	Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. PAKDD (1) Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann
2023	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2023	J	`jnl`	Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta. J. Cheminformatics Etienne Lehembre, Johanna Giovannini, Damien Geslin, Alban Lepailleur, Jean Luc Lamotte, David Auber, Abdelkader Ouali, Bruno Crémilleux, Albrecht Zimmermann, Bertrand Cuissart, Ronan Bureau
2023	—	`conf`	Wave Top-k Random-d Family Search: How to Guide an Expert in a Structured Pattern Space. PKDD/ECML Workshops (3) Etienne Lehembre, Bruno Crémilleux, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann
2023	—	`conf`	Wave k-Top d-Random Family Search : comment guider un expert dans un espace structuré. EGC Etienne Lehembre, Bruno Crémilleux, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann
2022	J	`jnl`	Exploiting complex pattern features for interactive pattern mining. CoRR Arnold Hien, Samir Loudni, Noureddine Aribi, Abdelkader Ouali, Albrecht Zimmermann
2022	—	`conf`	Identification de concepts remarquables à partir de leur voisinage dans un treillis. EGC Etienne Lehembre, Jean Luc Lamotte, Christophe Couronne, Bruno Crémilleux, Jean-Luc Manguin, Bertrand Cuissart, Abdelkader Ouali, Albrecht Zimmermann
2022	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2022	B	`conf`	Selecting Outstanding Patterns Based on Their Neighbourhood. IDA Etienne Lehembre, Ronan Bureau, Bruno Crémilleux, Bertrand Cuissart, Jean Luc Lamotte, Alban Lepailleur, Abdelkader Ouali, Albrecht Zimmermann
2021	—	`conf`	Fouille de motifs diversifiés : une approche basée sur la relaxation et l'échantillonnage. CIFSD Arnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah, Abdelkader Ouali, Albrecht Zimmermann
2021	J	`jnl`	LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks. Appl. Netw. Sci. Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina Fatima Soualmia
2021	J	`jnl`	Mining communities and their descriptions on attributed graphs: a survey. Data Min. Knowl. Discov. Martin Atzmueller, Stephan Günnemann, Albrecht Zimmermann
2020	—	`conf`	A Relaxation-Based Approach for Mining Diverse Closed Patterns. ECML/PKDD (1) Arnold Hien, Samir Loudni, Noureddine Aribi, Yahia Lebbah, Mohammed El Amine Laghzaoui, Abdelkader Ouali, Albrecht Zimmermann
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	J	`jnl`	Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020	—	`ed.`	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 PKDD/ECML Workshops 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
2020	Misc	`conf`	Link prediction via community detection in bipartite multi-layer graphs. SAC Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina Soualmia
2020	—	`ed.`	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 MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2020	J	`jnl`	Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey. WIREs Data Mining Knowl. Discov. Albrecht Zimmermann
2020	—	`conf`	PrePeP: A Light-Weight, Extensible Tool for Predicting Frequent Hitters. ECML/PKDD (5) Christophe Couronne, Maksim Koptelov, Albrecht Zimmermann
2020	B	`conf`	Using Data Science to Improve the Identification of Plant Nutritional Status. DSAA David Condaminet, Albrecht Zimmermann, Bastien Billiot, Bruno Crémilleux, Sylvain Pluchon
2019	—	`conf`	1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). EDML@SDM Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2019	—	`ed.`	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 MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2019	—	`ed.`	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. EDML@SDM Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2018	—	`conf`	An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse. CICLing (1) Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann
2018	B	`conf`	Link Prediction in Multi-layer Networks and Its Application to Drug Design. IDA Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux
2018	A*	`conf`	PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds. KDD Maksim Koptelov, Albrecht Zimmermann, Pascal Bonnet, Ronan Bureau, Bruno Crémilleux
2018	—	`conf`	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) Pegah Alizadeh, Peggy Cellier, Thierry Charnois, Bruno Crémilleux, Albrecht Zimmermann
2017	J	`jnl`	Exceptional contextual subgraph mining. Mach. Learn. Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet
2017	J	`jnl`	Guest editorial: Special issue on sports analytics. Data Min. Knowl. Discov. Ulf Brefeld, Albrecht Zimmermann
2017	—	`conf`	Integer Linear Programming for Pattern Set Mining; with an Application to Tiling. PAKDD (2) Abdelkader Ouali, Albrecht Zimmermann, Samir Loudni, Yahia Lebbah, Bruno Crémilleux, Patrice Boizumault, Lakhdar Loukil
2017	—	`ed.`	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. MLSA@PKDD/ECML Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2017	—	`ed.`	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. MLSA@PKDD/ECML Jesse Davis, Mehdi Kaytoue, Albrecht Zimmermann
2017	J	`jnl`	Wages of wins: could an amateur make money from match outcome predictions? CoRR Albrecht Zimmermann
2016	J	`jnl`	Basketball predictions in the NCAAB and NBA: Similarities and differences. Stat. Anal. Data Min. Albrecht Zimmermann
2016	A*	`conf`	Efficiently Finding Conceptual Clustering Models with Integer Linear Programming. IJCAI Abdelkader Ouali, Samir Loudni, Yahia Lebbah, Patrice Boizumault, Albrecht Zimmermann, Lakhdar Loukil
2016	—	`conf`	Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions? MLSA@PKDD/ECML Albrecht Zimmermann
2015	—	`conf`	Exploring Chance in NCAA Basketball. MLSA@PKDD/ECML Albrecht Zimmermann
2015	J	`jnl`	Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling. CoRR Albrecht Zimmermann, Björn Bringmann, Luc De Raedt
2015	—	`conf`	Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. ECML/PKDD (3) Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet
2015	J	`jnl`	Objectively evaluating condensed representations and interestingness measures for frequent itemset mining. J. Intell. Inf. Syst. Albrecht Zimmermann
2015	—	`conf`	Profiling Users of the Velo'v Bike Sharing System. MUD@ICML Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2014	J	`jnl`	A feature construction framework based on outlier detection and discriminative pattern mining. CoRR Albrecht Zimmermann
2014	—	`ch.`	Constraint-Based Pattern Mining. Frequent Pattern Mining Siegfried Nijssen, Albrecht Zimmermann
2014	—	`ch.`	Supervised Pattern Mining and Applications to Classification. Frequent Pattern Mining Albrecht Zimmermann, Siegfried Nijssen
2014	J	`jnl`	The Data Problem in Data Mining. SIGKDD Explor. Albrecht Zimmermann
2014	J	`jnl`	Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data. Intell. Data Anal. Albrecht Zimmermann
2013	C	`conf`	Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure. ECSQARU Jan Lemeire, Stijn Meganck, Albrecht Zimmermann, Thomas Dhollander
2013	—	`conf`	Objectively Evaluating Interestingness Measures for Frequent Itemset Mining. PAKDD Workshops Albrecht Zimmermann
2013	—	`conf`	Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned. MLSA@PKDD/ECML Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi
2013	J	`jnl`	Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned. CoRR Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi
2013	—	`ed.`	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. MLSA Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2012	—	`conf`	Generating Diverse Realistic Data Sets for Episode Mining. ICDM Workshops Albrecht Zimmermann
2011	—	`conf`	Declarative Heuristic Search for Pattern Set Mining. ICDM Workshops Tias Guns, Siegfried Nijssen, Albrecht Zimmermann, Luc De Raedt
2011	J	`jnl`	Pattern-Based Classification: A Unifying Perspective CoRR Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann
2010	—	`conf`	Fast, Effective Molecular Feature Mining by Local Optimization. ECML/PKDD (3) Albrecht Zimmermann, Björn Bringmann, Ulrich Rückert
2010	—	`ch.`	From Local Patterns to Classification Models. Inductive Databases and Constraint-Based Data Mining Björn Bringmann, Siegfried Nijssen, Albrecht Zimmermann
2009	B	`conf`	Aggregated Subset Mining. PAKDD Albrecht Zimmermann, Björn Bringmann
2009	J	`jnl`	Cluster-grouping: from subgroup discovery to clustering. Mach. Learn. Albrecht Zimmermann, Luc De Raedt
2009	—	`—`	Mining Sets of Patterns (Zoeken naar verzamelingen van patronen). Albrecht Zimmermann
2009	J	`jnl`	One in a million: picking the right patterns. Knowl. Inf. Syst. Björn Bringmann, Albrecht Zimmermann
2008	B	`conf`	Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees. Discovery Science Albrecht Zimmermann
2007	A	`conf`	Constraint-Based Pattern Set Mining. SDM Luc De Raedt, Albrecht Zimmermann
2007	A*	`conf`	The Chosen Few: On Identifying Valuable Patterns. ICDM Björn Bringmann, Albrecht Zimmermann
2006	—	`conf`	Don't Be Afraid of Simpler Patterns. PKDD Björn Bringmann, Albrecht Zimmermann, Luc De Raedt, Siegfried Nijssen
2005	A*	`conf`	CTC - Correlating Tree Patterns for Classification. ICDM Albrecht Zimmermann, Björn Bringmann
2005	—	`conf`	Tree LWA Björn Bringmann, Albrecht Zimmermann
2005	—	`conf`	Tree PKDD Björn Bringmann, Albrecht Zimmermann
2004	—	`conf`	Cluster-Grouping: From Subgroup Discovery to Clustering. ECML Albrecht Zimmermann, Luc De Raedt
2004	B	`conf`	CorClass: Correlated Association Rule Mining for Classification. Discovery Science Albrecht Zimmermann, Luc De Raedt
2004	—	`conf`	Inductive Querying for Discovering Subgroups and Clusters. Constraint-Based Mining and Inductive Databases Albrecht Zimmermann, Luc De Raedt