Albrecht Zimmermann

Bruno Crémilleux

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

An Experimental Approach for Information Extraction in Multi-party Dialogue Discourse.

[BibT_eX]

[DOI]

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2017

Exceptional contextual subgraph mining.

[BibT_eX]

[DOI]

Mehdi Kaytoue

Marc Plantevit

Ahmed Anes Bendimerad

Céline Robardet

Mach. Learn., 2017

Guest editorial: Special issue on sports analytics.

[BibT_eX]

[DOI]

Ulf Brefeld

Data Min. Knowl. Discov., 2017

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2016

Basketball predictions in the NCAAB and NBA: Similarities and differences.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2016

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Objectively evaluating condensed representations and interestingness measures for frequent itemset mining.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Exploring Chance in NCAA Basketball.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Profiling Users of the Velo'v Bike Sharing System.

[BibT_eX]

[DOI]

Jean-François Boulicaut

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.

[BibT_eX]

[DOI]

SIGKDD Explor., 2014

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

[BibT_eX]

[DOI]

Intell. Data Anal., 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

Supervised Pattern Mining and Applications to Classification.

[BibT_eX]

[DOI]

Proceedings of the Frequent Pattern Mining, 2014

Constraint-Based Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Frequent Pattern Mining, 2014

2013

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

[BibT_eX]

[DOI]

Sruthi Moorthy

Zifan Shi

CoRR, 2013

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

[BibT_eX]

[DOI]

Sruthi Moorthy

Zifan Shi

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012

Generating Diverse Realistic Data Sets for Episode Mining.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Pattern-Based Classification: A Unifying Perspective

[BibT_eX]

[DOI]

CoRR, 2011

Declarative Heuristic Search for Pattern Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Fast, Effective Molecular Feature Mining by Local Optimization.

[BibT_eX]

[DOI]

Ulrich Rückert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

From Local Patterns to Classification Models.

[BibT_eX]

[DOI]

Proceedings of the Inductive Databases and Constraint-Based Data Mining., 2010

2009

Mining Sets of Patterns (Zoeken naar verzamelingen van patronen).

[BibT_eX]

[DOI]

PhD thesis, 2009

Cluster-grouping: from subgroup discovery to clustering.

[BibT_eX]

[DOI]

Mach. Learn., 2009

One in a million: picking the right patterns.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2009

Aggregated Subset Mining.

[BibT_eX]

[DOI]

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

2008

Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

Constraint-Based Pattern Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

The Chosen Few: On Identifying Valuable Patterns.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Don't Be Afraid of Simpler Patterns.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

2005

Tree<sup>2</sup> - Decision Trees for Tree Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

CTC - Correlating Tree Patterns for Classification.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

CorClass: Correlated Association Rule Mining for Classification.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science, 7th International Conference, 2004

Inductive Querying for Discovering Subgroups and Clusters.

[BibT_eX]

[DOI]