Albrecht Zimmermann

发表

Inductive Querying for Discovering Subgroups and Clusters

Luc De Raedt, Albrecht Zimmermann, L. D. Raedt, 2004, Constraint-Based Mining and Inductive Databases.

Link prediction via community detection in bipartite multi-layer graphs

Albrecht Zimmermann, Bruno Crémilleux, Maksim Koptelov, 2019, SAC.

Exploring Chance in NCAA Basketball

Albrecht Zimmermann, 2015, MLSA@PKDD/ECML.

Integer Linear Programming for Pattern Set Mining; with an Application to Tiling

Patrice Boizumault, Albrecht Zimmermann, Bruno Crémilleux, 2017, PAKDD.

MLSA15 - Proceedings of "Machine Learning and Data Mining for Sports Analytics", workshop @ ECML/PKDD 2015

Jesse Davis, Albrecht Zimmermann, Jan Van Haaren, 2016 .

Supervised Pattern Mining and Applications to Classification

Siegfried Nijssen, Albrecht Zimmermann, Siegfried Nijssen, 2014, Frequent Pattern Mining.

Understanding episode mining techniques: Benchmarking on diverse, realistic, artificial data

Albrecht Zimmermann, Albrecht Zimmermann, 2014, Intell. Data Anal..

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

Arthur Zimek, Albrecht Zimmermann, Erich Schubert, 2019, EDML@SDM.

Exceptional contextual subgraph mining

Céline Robardet, Mehdi Kaytoue-Uberall, Albrecht Zimmermann, 2017, Machine Learning.

Feature construction based on class outliers

Albrecht Zimmermann, 2013 .

Machine Learning and Data Mining for Sports Analytics

Guy Van den Broeck, Wannes Meert, Jesse Davis, 2013, Lecture Notes in Computer Science.

Basketball predictions in the NCAAB and NBA: Similarities and differences

Albrecht Zimmermann, Albrecht Zimmermann, 2016, Stat. Anal. Data Min..

The Chosen Few: On Identifying Valuable Patterns

Albrecht Zimmermann, Björn Bringmann, Albrecht Zimmermann, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Declarative Heuristic Search for Pattern Set Mining

Luc De Raedt, Tias Guns, Siegfried Nijssen, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned pdf

Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi, 2013, ArXiv.

Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions? pdf

Albrecht Zimmermann, 2016, MLSA@PKDD/ECML.

CTC - correlating tree patterns for classification

Albrecht Zimmermann, Björn Bringmann, Albrecht Zimmermann, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Proceedings of the 4nd Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2017), Skopje, Macédoine

Albrecht Zimmermann, 2017 .

Aggregated Subset Mining

Albrecht Zimmermann, Björn Bringmann, 2009, PAKDD.

From Local Patterns to Classification Models

Siegfried Nijssen, Albrecht Zimmermann, Björn Bringmann, 2010, Inductive Databases and Constraint-Based Data Mining.

A feature construction framework based on outlier detection and discriminative pattern mining pdf

Albrecht Zimmermann, 2014, ArXiv.

Constraint-Based Pattern Set Mining

Luc De Raedt, Albrecht Zimmermann, L. D. Raedt, 2007, SDM.

Method evaluation, parameterization, and result validation in unsupervised data mining: A critical survey

Albrecht Zimmermann, Albrecht Zimmermann, 2019, WIREs Data Mining Knowl. Discov..

Fast, Effective Molecular Feature Mining by Local Optimization

Albrecht Zimmermann, Ulrich Rückert, Björn Bringmann, 2010, ECML/PKDD.

Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure

Albrecht Zimmermann, Jan Lemeire, Stijn Meganck, 2013, ECSQARU.

Étude Expérimentale d'Extraction d'Information dans des Retranscriptions de Réunions (An Experimental Approach For Information Extraction in Multi-Party Dialogue Discourse)

Pegah Alizadeh, Albrecht Zimmermann, Bruno Crémilleux, 2018, CORIA-TALN-RJC.

Generating Diverse Realistic Data Sets for Episode Mining

Albrecht Zimmermann, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Distance-based adaptive k-neighborhood selection

Albrecht Zimmermann, Albrecht Zimmermann, 2013 .

Exploring the efficacy of molecular fragments of different complexity in computational SAR modeling pdf

Luc De Raedt, Albrecht Zimmermann, Björn Bringmann, 2015, ArXiv.

One in a million: picking the right patterns

Albrecht Zimmermann, Björn Bringmann, 2008, Knowledge and Information Systems.

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning

Albrecht Zimmermann, Erich Schubert, Arthur Zimek, 2020, Big Data.

PrePeP: A light-weight, extensible tool for predicting frequent hitters

Albrecht Zimmermann, Maksim Koptelov, Christophe Couronne, 2020 .

Tree2 - Decision Trees for Tree Structured Data

Albrecht Zimmermann, Björn Bringmann, Albrecht Zimmermann, 2005, LWA.

What can connectivity characteristics of networks tell us about the quality of link predictions

Albrecht Zimmermann, Maksim Koptelov, 2019 .

Pattern-Based Classification: A Unifying Perspective pdf

Siegfried Nijssen, Albrecht Zimmermann, Björn Bringmann, 2011, ArXiv.

Profiling Users of the Velo'v Bike Sharing System

Céline Robardet, Jean-François Boulicaut, Mehdi Kaytoue-Uberall, 2015, MUD@ICML.

Predicting NCAAB Match Outcomes Using ML Techniques - Some Results and Lessons Learned

Albrecht Zimmermann, Sruthi Moorthy, Zifan Shi, 2013, MLSA@PKDD/ECML.

Mining Sets of Patterns (Zoeken naar verzamelingen van patronen)

Albrecht Zimmermann, 2009 .

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning

Albrecht Zimmermann, Erich Schubert, Arthur Zimek, 2020, Big Data.

Constraint-Based Pattern Mining

Siegfried Nijssen, Albrecht Zimmermann, 2014, Frequent Pattern Mining.

Cluster-grouping: from subgroup discovery to clustering

Luc De Raedt, Albrecht Zimmermann, L. D. Raedt, 2004, Machine Learning.

Link Prediction in Multi-layer Networks and Its Application to Drug Design

Albrecht Zimmermann, Bruno Crémilleux, Maksim Koptelov, 2018, IDA.

Guest editorial: Special issue on sports analytics

Ulf Brefeld, Albrecht Zimmermann, Ulf Brefeld, 2017, Data Mining and Knowledge Discovery.

Objectively Evaluating Interestingness Measures for Frequent Itemset Mining

Albrecht Zimmermann, 2013, PAKDD Workshops.

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)

Arthur Zimek, Albrecht Zimmermann, Erich Schubert, 2019 .

Don't Be Afraid of Simpler Patterns

Luc De Raedt, Siegfried Nijssen, Albrecht Zimmermann, 2006, PKDD.

Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees

Albrecht Zimmermann, Albrecht Zimmermann, 2008, Discovery Science.

MLSA13 - Proceedings of "Machine Learning and Data Mining for Sports Analytics", workshop @ ECML/PKDD 2013

Jesse Davis, Albrecht Zimmermann, 2013 .

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning

Albrecht Zimmermann, Erich Schubert, Arthur Zimek, 2020, Big Data.

Objectively evaluating condensed representations and interestingness measures for frequent itemset mining

Albrecht Zimmermann, Albrecht Zimmermann, 2015, Journal of Intelligent Information Systems.

Luc De Raedt, Albrecht Zimmermann, L. D. Raedt, 2004, Discovery Science.

A Relaxation-Based Approach for Mining Diverse Closed Patterns

Albrecht Zimmermann, Samir Loudni, Yahia Lebbah, 2020, ECML/PKDD.

Cluster-Grouping: From Subgroup Discovery to Clustering

Luc De Raedt, Albrecht Zimmermann, 2004, ECML.

PrePeP: A Tool for the Identification and Characterization of Pan Assay Interference Compounds

Ronan Bureau, Albrecht Zimmermann, Bruno Crémilleux, 2018, KDD.

Efficiently Finding Conceptual Clustering Models with Integer Linear Programming

Patrice Boizumault, Albrecht Zimmermann, Samir Loudni, 2016, IJCAI.

The Data Problem in Data Mining

Albrecht Zimmermann, Albrecht Zimmermann, 2015, SKDD.

LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks

Albrecht Zimmermann, Bruno Crémilleux, Maksim Koptelov, 2021, Applied Network Science.

Mining communities and their descriptions on attributed graphs: a survey

Martin Atzmüller, Stephan Günnemann, Albrecht Zimmermann, 2021, Data Mining and Knowledge Discovery.

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams

Céline Robardet, Mehdi Kaytoue-Uberall, Albrecht Zimmermann, 2015, ECML/PKDD.