Albrecht Zimmermann

Orcid: 0000-0002-8319-7456

Affiliations:
  • Université de Caen Normandie, France
  • INSA Lyon, France (former)
  • Catholic University Leuven, Belgium (former)
  • University of Freiburg, Germany (former)


According to our database1, Albrecht Zimmermann authored at least 62 papers between 2004 and 2024.

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Bibliography

2024
WaveLSea: helping experts interactively explore pattern mining search spaces.
Data Min. Knowl. Discov., July, 2024

Learning Predictive Models for Match Outcomes in US Sports, and Using Them to Bet.
Proceedings of the Sports Analytics - First International Conference, 2024

Fouille Interactive de Motifs à Haute Utilité.
Proceedings of the Extraction et Gestion des Connaissances, 2024

Nouveaux Descripteurs Discriminants pour la Fouille Interactive de Motifs.
Proceedings of the Extraction et Gestion des Connaissances, 2024

2023
Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta.
J. Cheminformatics, December, 2023

Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Wave k-Top d-Random Family Search : comment guider un expert dans un espace structuré.
Proceedings of the Extraction et Gestion des Connaissances, 2023

Chance and the Predictive Limit in Basketball (Both College and Professional).
Proceedings of the Discovery Science - 26th International Conference, 2023

2022
Exploiting complex pattern features for interactive pattern mining.
CoRR, 2022

Selecting Outstanding Patterns Based on Their Neighbourhood.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Identification de concepts remarquables à partir de leur voisinage dans un treillis.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Mining communities and their descriptions on attributed graphs: a survey.
Data Min. Knowl. Discov., 2021

LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks.
Appl. Netw. Sci., 2021

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

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning.
Big Data, 2020

Link prediction via community detection in bipartite multi-layer graphs.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

A Relaxation-Based Approach for Mining Diverse Closed Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

PrePeP: A Light-Weight, Extensible Tool for Predicting Frequent Hitters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Using Data Science to Improve the Identification of Plant Nutritional Status.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019).
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), 2019

2018
Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse).
Proceedings of the Actes de la Conférence TALN. CORIA-TALN-RJC 2018 - Volume 1, 2018

PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Link Prediction in Multi-layer Networks and Its Application to Drug Design.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2017
Exceptional contextual subgraph mining.
Mach. Learn., 2017

Guest editorial: Special issue on sports analytics.
Data Min. Knowl. Discov., 2017

Integer Linear Programming for Pattern Set Mining; with an Application to Tiling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016
Basketball predictions in the NCAAB and NBA: Similarities and differences.
Stat. Anal. Data Min., 2016

Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions?
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

Efficiently Finding Conceptual Clustering Models with Integer Linear Programming.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Objectively evaluating condensed representations and interestingness measures for frequent itemset mining.
J. Intell. Inf. Syst., 2015

Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling.
CoRR, 2015

Exploring Chance in NCAA Basketball.
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), 2015

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Profiling Users of the Velo'v Bike Sharing System.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2014
The Data Problem in Data Mining.
SIGKDD Explor., 2014

Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data.
Intell. Data Anal., 2014

A feature construction framework based on outlier detection and discriminative pattern mining.
CoRR, 2014

Supervised Pattern Mining and Applications to Classification.
Proceedings of the Frequent Pattern Mining, 2014

Constraint-Based Pattern Mining.
Proceedings of the Frequent Pattern Mining, 2014

2013
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned.
CoRR, 2013

Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned.
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), 2013

Objectively Evaluating Interestingness Measures for Frequent Itemset Mining.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012
Generating Diverse Realistic Data Sets for Episode Mining.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Pattern-Based Classification: A Unifying Perspective
CoRR, 2011

Declarative Heuristic Search for Pattern Set Mining.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Fast, Effective Molecular Feature Mining by Local Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

From Local Patterns to Classification Models.
Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009
Mining Sets of Patterns (Zoeken naar verzamelingen van patronen).
PhD thesis, 2009

Cluster-grouping: from subgroup discovery to clustering.
Mach. Learn., 2009

One in a million: picking the right patterns.
Knowl. Inf. Syst., 2009

Aggregated Subset Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

2008
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees.
Proceedings of the Discovery Science, 11th International Conference, 2008

2007
Constraint-Based Pattern Set Mining.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

The Chosen Few: On Identifying Valuable Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Don't Be Afraid of Simpler Patterns.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

2005
Tree<sup>2</sup> - Decision Trees for Tree Structured Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

CTC - Correlating Tree Patterns for Classification.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
CorClass: Correlated Association Rule Mining for Classification.
Proceedings of the Discovery Science, 7th International Conference, 2004

Inductive Querying for Discovering Subgroups and Clusters.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004


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