Using Design Axioms and Topology to Model Database Semantics. - Arno Siebes; Martin L. Kersten (VLDB, 1987)

Towards a design theory for Database triggers. - Arno Siebes; M. H. van der Voort; Martin L. Kersten (DEXA, 1992)

Schema Integration in Object-Oriented Databases - Christiaan Thieme; Arno Siebes (CAiSE, 1993)

Termination and Confluence of Rule Execution. - Leonie van der Voort; Arno Siebes (CIKM, 1993)

Enforcing Confluence of Rule Execution. - Leonie van der Voort; Arno Siebes (Rules in Database Systems, 1993)

An Approach to Schema Integratioin Based on Transformations and Behaviour - Christiaan Thieme; Arno Siebes (CAiSE, 1994)

Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. - Arno Siebes (KDD Workshop, 1994)

Data Surveying: Foundations of an Inductive Query Language. - Arno Siebes (KDD, 1995)

Guiding Schema Integration by Behavioural Information. - Christiaan Thieme; Arno Siebes (Inf. Syst., 1995)

DEGAS: Capturing Dynamics in Objects. - Johan van den Akker; Arno Siebes (CAiSE, 1996)

Object Histories as a Foundation for an Active OODB. - Johan van den Akker; Arno Siebes (DEXA Workshop, 1996)

Deductive Databases: Challenges, Opportunities and Future Directions (Panel Discussion). - Arno Siebes; Shalom Tsur; Jeffrey D. Ullman; Laurent Vieille; Carlo Zaniolo (Logic in Databases, 1996)

Data Mining: What it is and how it is done. - Arno Siebes (SEBD, 1996)

Data Mining and the KESO Project. - Arno Siebes (SOFSEM, 1996)

Research and Business Challenges in Data Mining Technology. - Martin L. Kersten; Arno Siebes; Marcel Holsheimer; Fred Kwakkel (BTW, 1997)

Enriching Active Databases with Agent Technology. - Johan van den Akker; Arno Siebes (CIA, 1997)

Query Optimization to Support Data Mining. - Sunil Choenni; Arno Siebes (DEXA Workshop, 1997)

KESO: Minimizing Database Interaction. - Arno Siebes; Martin L. Kersten (KDD, 1997)

DEGAS: A Database of Autonomous Objects. - Johan van den Akker; Arno Siebes (Inf. Syst., 1997)

Wavelet Transform in Similarity Paradigm. - Zbigniew R. Struzik; Arno Siebes (PAKDD, 1998)

Measuring Time Series' Similarity through Large Singular Features Revealed with Wavelet Transformation. - Zbigniew R. Struzik; Arno Siebes (DEXA Workshop, 1999)

Multi-relational Decision Tree Induction. - Arno J. Knobbe; Arno Siebes; Danïel van der Wallen (PKDD, 1999)

The Haar Wavelet Transform in the Time Series Similarity Paradigm. - Zbigniew R. Struzik; Arno Siebes (PKDD, 1999)

Data Mining and Statistics. - Arno Siebes (Computational Intelligence in Data Mining, 2000)

Visualizing association rules with interactive mosaic plots. - Heike Hofmann; Arno Siebes; Adalbert F. X. Wilhelm (KDD, 2000)

Multi-Relational Data Mining, Using UML for ILP. - Arno J. Knobbe; Arno Siebes; Hendrik Blockeel; Danïel van der Wallen (PKDD, 2000)

BioInformatics: Databases + Data Mining (abstract). - Arno Siebes (SOFSEM, 2000)

Data Mining: Methods for Knowledge Discovery, by Krzystof Cios, Witold Pedrycz, and Roman Swiniarski, Kluwer, 1998. - Arno Siebes (Artif. Intell. Medicine, 2000)

Priors on network structures. Biasing the search for Bayesian networks. - Robert Castelo; Arno Siebes (Int. J. Approx. Reason., 2000)

MAMBO: Discovering Association Rules Based on Conditional Independencies. - Robert Castelo; A. J. Feelders; Arno Siebes (IDA, 2001)

Propositionalisation and Aggregates. - Arno J. Knobbe; Marc de Haas; Arno Siebes (PKDD, 2001)

Complex Data: Mining Using Patterns. - Arno Siebes; Zbigniew R. Struzik (Pattern Detection and Discovery, 2002)

Involving Aggregate Functions in Multi-relational Search. - Arno J. Knobbe; Arno Siebes; Bart Marseille (PKDD, 2002)

04161 Abstracts Collection - Detecting Local Patterns. - Jean-François Boulicaut; Katharina Morik; Arno Siebes (Detecting Local Patterns, 2004)

Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. - Ronnie Bathoorn; Arno Siebes (PKDD, 2004)

Discovery of Regulatory Connections in Microarray Data. - Michael Egmont-Petersen; Wim de Jonge; Arno Siebes (PKDD, 2004)

CONAN: An Integrative System for Biomedical Literature Mining. - Rainer Malik; Arno Siebes (EPIA, 2005)

Instability of Classifiers on Categorical Data. - Arno Siebes; Muhammad Subianto; A. J. Feelders (ICDM, 2005)

Data Mining in Inductive Databases. - Arno Siebes (KDID, 2005)

Reducing the Frequent Pattern Set. - Ronnie Bathoorn; Arne Koopman; Arno Siebes (ICDM Workshops, 2006)

Compression Picks Item Sets That Matter. - Matthijs van Leeuwen; Jilles Vreeken; Arno Siebes (PKDD, 2006)

Item Sets that Compress. - Arno Siebes; Jilles Vreeken; Matthijs van Leeuwen (SDM, 2006)

Combination of text-mining algorithms increases the performance. - Rainer Malik; Lude Franke; Arno Siebes (Bioinform., 2006)

Introduction. - Joost N. Kok; José María Peña Sánchez; Arno Siebes (Intell. Data Anal., 2006)

07181 Introduction – Parallel Universes and Local Patterns . - Michael R. Berthold; Katharina Morik; Arno Siebes (Parallel Universes and Local Patterns, 2007)

07181 Abstracts Collection – Parallel Universes and Local Patterns . - Michael R. Berthold; Katharina Morik; Arno Siebes (Parallel Universes and Local Patterns, 2007)

Finding Composite Episodes. - Ronnie Bathoorn; Arno Siebes (MCD, 2007)

Understanding Discrete Classifiers with a Case Study in Gene Prediction. - Muhammad Subianto; Arno Siebes (ICDM, 2007)

Preserving Privacy through Data Generation. - Jilles Vreeken; Matthijs van Leeuwen; Arno Siebes (ICDM, 2007)

Characterising the difference. - Jilles Vreeken; Matthijs van Leeuwen; Arno Siebes (KDD, 2007)

Filling in the Blanks - Krimp Minimisation for Missing Data. - Jilles Vreeken; Arno Siebes (ICDM, 2008)

StreamKrimp: Detecting Change in Data Streams. - Matthijs van Leeuwen; Arno Siebes (ECML/PKDD (1), 2008)

Discovering Relational Items Sets Efficiently. - Arne Koopman; Arno Siebes (SDM, 2008)

Compressing tags to find interesting media groups. - Matthijs van Leeuwen; Francesco Bonchi; Börkur Sigurbjörnsson; Arno Siebes (CIKM, 2009)

Characteristic relational patterns. - Arne Koopman; Arno Siebes (KDD, 2009)

Mining Databases to Mine Queries Faster. - Arno Siebes; Diyah Puspitaningrum (ECML/PKDD (2), 2009)

Low-Entropy Set Selection. - Hannes Heikinheimo; Jilles Vreeken; Arno Siebes; Heikki Mannila (SDM, 2009)

Identifying the components. - Matthijs van Leeuwen; Jilles Vreeken; Arno Siebes (Data Min. Knowl. Discov., 2009)

Patterns on Queries. - Arno Siebes; Diyah Puspitaningrum (Inductive Databases and Constraint-Based Data Mining, 2010)

Frequent Episode Mining to Support Pattern Analysis in Developmental Biology. - Ronnie Bathoorn; Monique C. M. Welten; Michael Richardson; Arno Siebes; Fons J. Verbeek (PRIB, 2010)

Learning predictive models that use pattern discovery - A bootstrap evaluative approach applied in organ functioning sequences. - Tudor Toma; Robert-Jan Bosman; Arno Siebes; Niels Peek; Ameen Abu-Hanna (J. Biomed. Informatics, 2010)

A Structure Function for Transaction Data. - Arno Siebes; René Kersten (SDM, 2011)

Krimp: mining itemsets that compress. - Jilles Vreeken; Matthijs van Leeuwen; Arno Siebes (Data Min. Knowl. Discov., 2011)

Queries for Data Analysis. - Arno Siebes (IDA, 2012)

Smoothing Categorical Data. - Arno Siebes; René Kersten (ECML/PKDD (1), 2012)

MDL in Pattern Mining A Brief Introduction to Krimp. - Arno Siebes (ICFCA, 2014)

Characterising Seismic Data. - Roel Bertens; Arno Siebes (SDM, 2014)

Beauty and Brains: Detecting Anomalous Pattern Co-Occurrences. - Roel Bertens; Jilles Vreeken; Arno Siebes (CoRR, 2015)

Sharing Data with Guaranteed Privacy. - Arno Siebes (Solving Large Scale Learning Tasks, 2016)

Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. - Roel Bertens; Jilles Vreeken; Arno Siebes (KDD, 2016)

Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains. - Thomas E. Krak; Jasper De Bock; Arno Siebes (ISIPTA, 2017)

Efficiently Discovering Unexpected Pattern-Co-Occurrences. - Roel Bertens; Jilles Vreeken; Arno Siebes (SDM, 2017)

Imprecise continuous-time Markov chains. - Thomas E. Krak; Jasper De Bock; Arno Siebes (Int. J. Approx. Reason., 2017)

Data science as a language: challenges for computer science - a position paper. - Arno Siebes (Int. J. Data Sci. Anal., 2018)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Mirco Nanni; Gennady L. Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Giovanni Comandè; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; et al. (CoRR, 2020)

Widening: using parallel resources to improve model quality. - Michael R. Berthold; Alexander Fillbrunn; Arno Siebes (Data Min. Knowl. Discov., 2021)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. - Mirco Nanni; Gennady L. Andrienko; Albert-László Barabási; Chiara Boldrini; Francesco Bonchi; Ciro Cattuto; Francesca Chiaromonte; Giovanni Comandè; Marco Conti; Mark Coté; Frank Dignum; Virginia Dignum; et al. (Ethics Inf. Technol., 2021)

Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting. - Haotian Li; Arno Siebes; Siamak Mehrkanoon (CoRR, 2024)

Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. - Brandon Gower-Winter; Georg Krempl; Sergey Dragomiretskiy; Tineke Jelsma; Arno Siebes (AAAI, 2025)

Methods in dynamic treatment regimens using observational healthcare data: A systematic review. - David Liang; Animesh Kumar Paul; Daniala L. Weir; Vera H. M. Deneer; Russell Greiner; Arno Siebes; Helga Gardarsdottir (Comput. Methods Programs Biomed., 2025)

TransCORALNet: A two-stream transformer CORAL networks for supply chain credit assessment cold start. - Jie Shi; Arno P. J. M. Siebes; Siamak Mehrkanoon (Expert Syst. Appl., 2025)

Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review. - Michiel P. Bron; Peter G. M. van der Heijden; Ad Feelders; Arno Siebes (ACM Trans. Inf. Syst., 2025)

Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment. - Jie Shi; Arno P. J. M. Siebes; Siamak Mehrkanoon (CoRR, 2025)