Bart Goethals

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data.

[BibT_eX]

[DOI]

Lien Michiels

Robin Verachtert

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Abstract: Should Algorithm Evaluation Extend to Testing? We Think So.

[BibT_eX]

[DOI]

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

A Neighbourhood-based Location- and Time-aware Recommender System.

[BibT_eX]

[DOI]

Robin Verachtert

Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

2021

High-dimensional Sparse Embeddings for Collaborative Filtering.

[BibT_eX]

[DOI]

Jan Van Balen

Proceedings of the WWW '21: The Web Conference 2021, 2021

Top-K Contextual Bandits with Equity of Exposure.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Pessimistic Reward Models for Off-Policy Learning in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Combining instance and feature neighbours for extreme multi-label classification.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2020

Closed-Form Models for Collaborative Filtering with Side-Information.

[BibT_eX]

[DOI]

Jan Van Balen

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Proximity Forest: an effective and scalable distance-based classifier for time series.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

Efficiently mining cohesion-based patterns and rules in event sequences.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

Lessons Learned from the FIMI Workshops.

[BibT_eX]

[DOI]

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

Interactive evaluation of recommender systems with SNIPER: an episode mining approach.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

On-the-Fly News Recommendation Using Sequential Patterns.

[BibT_eX]

[DOI]

Mozhgan Karimi

Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, 2019

Efficient similarity computation for collaborative filtering in dynamic environments.

[BibT_eX]

[DOI]

Koen Verstrepen

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

Pattern-Based Anomaly Detection in Mixed-Type Time Series.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Sampling-Based Approach for Discovering Subspace Clusters.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 22nd International Conference, 2019

SubSect - An Interactive Itemset Visualization.

[BibT_eX]

[DOI]

Joey De Pauw

Proceedings of the Artificial Intelligence and Machine Learning, 2019

2018

Apriori Property and Breadth-First Search Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Analyzing concept drift and shift from sample data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

Grasping frequent subgraph mining for bioinformatics applications.

[BibT_eX]

[DOI]

BioData Min., 2018

Mining Top-<i>k</i> Quantile-based Cohesive Sequential Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017

Collaborative Filtering for Binary, Positiveonly Data.

[BibT_eX]

[DOI]

SIGKDD Explor., 2017

Assigning clinical codes with data-driven concept representation on Dutch clinical free text.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2017

Understanding Concept Drift.

[BibT_eX]

[DOI]

CoRR, 2017

Cleaning Data with Forbidden Itemsets.

[BibT_eX]

[DOI]

Joeri Rammelaere

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Combining Instance and Feature Neighbors for Efficient Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Pattern Based Sequence Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Efficient Discovery of Sets of Co-occurring Items in Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Discovering Overlapping Quantitative Associations by Density-Based Mining of Relevant Attributes.

[BibT_eX]

[DOI]

Thomas Van Brussel

Emmanuel Müller

Proceedings of the Foundations of Information and Knowledge Systems, 2016

k-Morik: Mining Patterns to Classify Cartified Images of Katharina.

[BibT_eX]

[DOI]

Élisa Fromont

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015

A pattern based predictor for event streams.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

Mining the entire Protein DataBank for frequent spatially cohesive amino acid patterns.

[BibT_eX]

[DOI]

BioData Min., 2015

A primer to frequent itemset mining for bioinformatics.

[BibT_eX]

[DOI]

Briefings Bioinform., 2015

Top-N Recommendation for Shared Accounts.

[BibT_eX]

[DOI]

Koen Verstrepen

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Determining the Presence of Political Parties in Social Circles.

[BibT_eX]

[DOI]

Christophe Van Gysel

Maarten de Rijke

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Finding Subspace Clusters Using Ranked Neighborhoods.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Cohesion based co-location pattern mining.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Efficient Cluster Detection by Ordered Neighborhoods.

[BibT_eX]

[DOI]

Emin Aksehirli

Emmanuel Müller

Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

2014

Discovery of Spatially Cohesive Itemsets in Three-Dimensional Protein Structures.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

MARBLES: Mining association rules buried in long event sequences.

[BibT_eX]

[DOI]

Nikolaj Tatti

Stat. Anal. Data Min., 2014

Mining frequent itemsets in a stream.

[BibT_eX]

[DOI]

Inf. Syst., 2014

Unifying nearest neighbors collaborative filtering.

[BibT_eX]

[DOI]

Koen Verstrepen

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Welcome from DSAA 2014 chairs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Providing Concise Database Covers Instantly by Recursive Tile Sampling.

[BibT_eX]

[DOI]

Mario Boley

Proceedings of the Discovery Science - 17th International Conference, 2014

Mining Cohesive Itemsets in Graphs.

[BibT_eX]

[DOI]

Tayena Hendrickx

Proceedings of the Discovery Science - 17th International Conference, 2014

2013

Itemset Based Sequence Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining Interesting Itemsets in Graph Datasets.

[BibT_eX]

[DOI]

Tayena Hendrickx

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Mining spatially cohesive itemsets in protein molecular structures.

[BibT_eX]

[DOI]

Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

Randomly sampling maximal itemsets.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Frequent Itemset Mining for Big Data.

[BibT_eX]

[DOI]

Emin Aksehirli

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Mining frequent conjunctive queries in relational databases through dependency discovery.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2012

Top-10 Data Mining Case Studies.

[BibT_eX]

[DOI]

Geoffrey J. McLachlan

Jian Pei

Ashok Srivastava

Osmar R. Zaïane

Int. J. Inf. Technol. Decis. Mak., 2012

An inductive database system based on virtual mining views.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2012

Cartification: From Similarities to Itemset Frequencies.

[BibT_eX]

[DOI]

Proceedings of the Formal Concept Analysis - 10th International Conference, 2012

2011

An integrated workflow for robust alignment and simplified quantitative analysis of NMR spectrometry data.

[BibT_eX]

[DOI]

BMC Bioinform., 2011

MIME: A Framework for Interactive Visual Pattern Mining.

[BibT_eX]

[DOI]

Jilles Vreeken

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Cartification: Turning Similarities into Itemset Frequencies.

[BibT_eX]

[DOI]

Proceedings of the 2nd MultiClust Workshop: Discovering, 2011

GaMuSo: Graph Base Music Recommendation in a Social Bookmarking Service.

[BibT_eX]

[DOI]

Jeroen De Knijf

Anthony M. L. Liekens

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Mining Train Delays.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

BioGraph: Knowledge Discovery and Exploration in the Biomedical Domain.

[BibT_eX]

[DOI]

Jeroen De Knijf

Anthony M. L. Liekens

Proceedings of the Data Mining Workshops (ICDMW), 2011

"Tell Me More": Finding Related Items from User Provided Feedback.

[BibT_eX]

[DOI]

Jeroen De Knijf

Anthony M. L. Liekens

Proceedings of the Discovery Science - 14th International Conference, 2011

2010

Frequent Set Mining.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Useful patterns (UP'10) ACM SIGKDD workshop report.

[BibT_eX]

[DOI]

Jilles Vreeken

Nikolaj Tatti

SIGKDD Explor., 2010

Special issue on the best papers of SDM'10.

[BibT_eX]

[DOI]

Jian Pei

Stat. Anal. Data Min., 2010

Mining interesting sets and rules in relational databases.

[BibT_eX]

[DOI]

Wim Le Page

Michael Mampaey

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Mining Association Rules in Long Sequences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Efficient Pattern Mining of Uncertain Data with Sampling.

[BibT_eX]

[DOI]

Calin Garboni

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Predicting the severity of a reported bug.

[BibT_eX]

[DOI]

Proceedings of the 7th International Working Conference on Mining Software Repositories, 2010

Approximation of Frequentness Probability of Itemsets in Uncertain Data.

[BibT_eX]

[DOI]

Calin Garboni

Proceedings of the ICDM 2010, 2010

Discovery and Application of Functional Dependencies in Conjunctive Query Mining.

[BibT_eX]

[DOI]

Dominique Laurent

Wim Le Page

Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

Inductive Querying with Virtual Mining Views.

[BibT_eX]

[DOI]

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

A Practical Comparative Study Of Data Mining Query Languages.

[BibT_eX]

[DOI]

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

2009

Apriori Property and Breadth-First Search Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

A new technique for sequential pattern mining under regular expressions.

[BibT_eX]

Roberto Trasarti

Francesco Bonchi

Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

A New Constraint for Mining Sets in Sequences.

[BibT_eX]

[DOI]

Céline Robardet

Proceedings of the SIAM International Conference on Data Mining, 2009

2008

Mining frequent items in a stream using flexible windows.

[BibT_eX]

[DOI]

Nele Dexters

Intell. Data Anal., 2008

Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008.

[BibT_eX]

[DOI]

Walter Daelemans

Katharina Morik

Data Min. Knowl. Discov., 2008

Mining Association Rules of Simple Conjunctive Queries.

[BibT_eX]

[DOI]

Wim Le Page

Heikki Mannila

Proceedings of the SIAM International Conference on Data Mining, 2008

An inductive database prototype based on virtual mining views.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions.

[BibT_eX]

[DOI]

Roberto Trasarti

Francesco Bonchi

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Mining Views: Database Views for Data Mining.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

A new support measure for items in streams.

[BibT_eX]

[DOI]

Nele Dexters

Monde des Util. Anal. Données, 2007

Non-derivable itemset mining.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2007

Mining itemsets in the presence of missing values.

[BibT_eX]

[DOI]

Michael Mampaey

Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Mining Frequent Itemsets in a Stream.

[BibT_eX]

[DOI]

Nele Dexters

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

Finding interesting queries in relational databases.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006

Integrating Pattern Mining in Relational Databases.

[BibT_eX]

[DOI]

Adriana Prado

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

Mining rank-correlated sets of numerical attributes.

[BibT_eX]

[DOI]

Szymon Jaroszewicz

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

Tight upper bounds on the number of candidate patterns.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2005

Open source data mining: workshop report.

[BibT_eX]

[DOI]

Siegfried Nijssen

Mohammed Javeed Zaki

SIGKDD Explor., 2005

Mining Non-Derivable Association Rules.

[BibT_eX]

[DOI]

Juho Muhonen

Hannu Toivonen

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Depth-First Non-Derivable Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Quick Inclusion-Exclusion.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005

Mining tree queries in a graph.

[BibT_eX]

[DOI]

Eveline Hoekx

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Frequent Set Mining.

[BibT_eX]

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Advances in frequent itemset mining implementations: report on FIMI'03.

[BibT_eX]

[DOI]

Mohammed Javeed Zaki

SIGKDD Explor., 2004

Memory issues in frequent itemset mining.

[BibT_eX]

[DOI]

Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

FP-Bonsai: The Art of Growing and Pruning Small FP-Trees.

[BibT_eX]

[DOI]

Francesco Bonchi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

On Private Scalar Product Computation for Privacy-Preserving Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Cryptology, 2004

Tiling Databases.

[BibT_eX]

[DOI]

Taneli Mielikäinen

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

2003

Minimal <i>k</i>-Free Representations of Frequent Sets.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

What You Store is What You Get.

[BibT_eX]

Taneli Mielikäinen

Proceedings of the Second International Workshop on Inductive Databases, 2003

Advances in Frequent Itemset Mining Implementations: Introduction to FIMI03.

[BibT_eX]

[DOI]

Mohammed Javeed Zaki

Proceedings of the FIMI '03, 2003

2002

Efficient frequent pattern mining

[BibT_eX]

[DOI]

PhD thesis, 2002

Mining All Non-derivable Frequent Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Relational Association Rules: Getting WARMeR.

[BibT_eX]

[DOI]

Proceedings of the Pattern Detection and Discovery, 2002

2001

Interactive Constrained Association Rule Mining

[BibT_eX]

[DOI]

CoRR, 2001

A Tight Upper Bound on the Number of Candidate Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

2000

A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model.

[BibT_eX]

[DOI]

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

On Supporting Interactive Association Rule Mining.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 2000

1999

A priori versus a posteriori filtering of association rules.

[BibT_eX]

[DOI]