| 2025 | AAAI | Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. | Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes |
| 2017 | SDM | Efficiently Discovering Unexpected Pattern-Co-Occurrences. | Roel Bertens, Jilles Vreeken, Arno Siebes |
| 2016 | KDD | Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. | Roel Bertens, Jilles Vreeken, Arno Siebes |
| 2014 | ICFCA | MDL in Pattern Mining A Brief Introduction to Krimp. | Arno Siebes |
| 2014 | SDM | Characterising Seismic Data. | Roel Bertens, Arno Siebes |
| 2012 | IDA | Queries for Data Analysis. | Arno Siebes |
| 2011 | SDM | A Structure Function for Transaction Data. | Arno Siebes, Ren Kersten |
| 2009 | CIKM | Compressing tags to find interesting media groups. | Matthijs van Leeuwen, Francesco Bonchi, Brkur Sigurbjrnsson, Arno Siebes |
| 2009 | KDD | Characteristic relational patterns. | Arne Koopman, Arno Siebes |
| 2009 | SDM | Low-Entropy Set Selection. | Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila |
| 2008 | ICDM | Filling in the Blanks - Krimp Minimisation for Missing Data. | Jilles Vreeken, Arno Siebes |
| 2008 | SDM | Discovering Relational Items Sets Efficiently. | Arne Koopman, Arno Siebes |
| 2007 | ICDM | Understanding Discrete Classifiers with a Case Study in Gene Prediction. | Muhammad Subianto, Arno Siebes |
| 2007 | ICDM | Preserving Privacy through Data Generation. | Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes |
| 2007 | KDD | Characterising the difference. | Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes |
| 2006 | ICDM | Reducing the Frequent Pattern Set. | Ronnie Bathoorn, Arne Koopman, Arno Siebes |
| 2006 | SDM | Item Sets that Compress. | Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen |
| 2005 | EPIA | CONAN: An Integrative System for Biomedical Literature Mining. | Rainer Malik, Arno Siebes |
| 2005 | ICDM | Instability of Classifiers on Categorical Data. | Arno Siebes, Muhammad Subianto, A. J. Feelders |
| 2001 | IDA | MAMBO: Discovering Association Rules Based on Conditional Independencies. | Robert Castelo, A. J. Feelders, Arno Siebes |
| 2000 | KDD | Visualizing association rules with interactive mosaic plots. | Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm |
| 2000 | SOFSEM | BioInformatics: Databases + Data Mining (abstract). | Arno Siebes |
| 1998 | PAKDD | Wavelet Transform in Similarity Paradigm. | Zbigniew R. Struzik, Arno Siebes |
| 1997 | BTW | Research and Business Challenges in Data Mining Technology. | Martin L. Kersten, Arno Siebes, Marcel Holsheimer, Fred Kwakkel |
| 1997 | KDD | KESO: Minimizing Database Interaction. | Arno Siebes, Martin L. Kersten |
| 1996 | CaiSE | DEGAS: Capturing Dynamics in Objects. | Johan van den Akker, Arno Siebes |
| 1996 | SOFSEM | Data Mining and the KESO Project. | Arno Siebes |
| 1995 | KDD | Data Surveying: Foundations of an Inductive Query Language. | Arno Siebes |
| 1994 | CaiSE | An Approach to Schema Integratioin Based on Transformations and Behaviour | Christiaan Thieme, Arno Siebes |
| 1994 | KDD | Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. | Arno Siebes |
| 1993 | CaiSE | Schema Integration in Object-Oriented Databases | Christiaan Thieme, Arno Siebes |
| 1993 | CIKM | Termination and Confluence of Rule Execution. | Leonie van der Voort, Arno Siebes |
| 1992 | DEXA | Towards a design theory for Database triggers. | Arno Siebes, M. H. van der Voort, Martin L. Kersten |
| 1987 | VLDB | Using Design Axioms and Topology to Model Database Semantics. | Arno Siebes, Martin L. Kersten |