Arno Siebes

Publication Activity (10 Years)

Years Active: 1987-2021
Publications (10 Years): 10

Top Topics

Event Sequences

Top Venues

Int. J. Approx. Reason.

Publications

Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23 (S1) (2021)
Michael R. Berthold, Alexander Fillbrunn, Arno Siebes
Widening: using parallel resources to improve model quality. Data Min. Knowl. Discov. 35 (4) (2021)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13 (1) (2020)
Arno Siebes
Data science as a language: challenges for computer science - a position paper. Int. J. Data Sci. Anal. 6 (3) (2018)
Thomas E. Krak, Jasper De Bock, Arno Siebes
Imprecise continuous-time Markov chains. Int. J. Approx. Reason. 88 (2017)
Thomas E. Krak, Jasper De Bock, Arno Siebes
Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains. ISIPTA (2017)
Roel Bertens, Jilles Vreeken, Arno Siebes
Efficiently Discovering Unexpected Pattern-Co-Occurrences. SDM (2017)
Roel Bertens, Jilles Vreeken, Arno Siebes
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. KDD (2016)
Arno Siebes
Sharing Data with Guaranteed Privacy. Solving Large Scale Learning Tasks (2016)
Roel Bertens, Jilles Vreeken, Arno Siebes
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. CoRR (2015)
Roel Bertens, Jilles Vreeken, Arno Siebes
Beauty and Brains: Detecting Anomalous Pattern Co-Occurrences. CoRR (2015)
Roel Bertens, Arno Siebes
Characterising Seismic Data. SDM (2014)
Arno Siebes
MDL in Pattern Mining A Brief Introduction to Krimp. ICFCA (2014)
Arno Siebes
Queries for Data Analysis. IDA (2012)
Arno Siebes, René Kersten
Smoothing Categorical Data. ECML/PKDD (1) (2012)
Arno Siebes, René Kersten
A Structure Function for Transaction Data. SDM (2011)
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
Krimp: mining itemsets that compress. Data Min. Knowl. Discov. 23 (1) (2011)
Ronnie Bathoorn, Monique C. M. Welten, Michael Richardson, Arno Siebes, Fons J. Verbeek
Frequent Episode Mining to Support Pattern Analysis in Developmental Biology. PRIB (2010)
Tudor Toma, Robert-Jan Bosman, Arno Siebes, Niels Peek, Ameen Abu-Hanna
Learning predictive models that use pattern discovery - A bootstrap evaluative approach applied in organ functioning sequences. J. Biomed. Informatics 43 (4) (2010)
Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, Arno Siebes
Compressing tags to find interesting media groups. CIKM (2009)
Arno Siebes, Diyah Puspitaningrum
Mining Databases to Mine Queries Faster. ECML/PKDD (2) (2009)
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila
Low-Entropy Set Selection. SDM (2009)
Arne Koopman, Arno Siebes
Characteristic relational patterns. KDD (2009)
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
Identifying the components. Data Min. Knowl. Discov. 19 (2) (2009)
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
Identifying the Components. ECML/PKDD (1) (2009)
Matthijs van Leeuwen, Arno Siebes
StreamKrimp: Detecting Change in Data Streams. ECML/PKDD (1) (2008)
Arne Koopman, Arno Siebes
Discovering Relational Items Sets Efficiently. SDM (2008)
Jilles Vreeken, Arno Siebes
Filling in the Blanks - Krimp Minimisation for Missing Data. ICDM (2008)
Muhammad Subianto, Arno Siebes
Understanding Discrete Classifiers with a Case Study in Gene Prediction. ICDM (2007)
Ronnie Bathoorn, Arno Siebes
Finding Composite Episodes. MCD (2007)
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
Characterising the difference. KDD (2007)
Michael R. Berthold, Katharina Morik, Arno Siebes
07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns (2007)
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
Preserving Privacy through Data Generation. ICDM (2007)
Michael R. Berthold, Katharina Morik, Arno Siebes
07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns (2007)
Joost N. Kok, José María Peña Sánchez, Arno Siebes
Introduction. Intell. Data Anal. 10 (5) (2006)
Rainer Malik, Lude Franke, Arno Siebes
Combination of text-mining algorithms increases the performance. Bioinform. 22 (17) (2006)
Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen
Item Sets that Compress. SDM (2006)
Ronnie Bathoorn, Arne Koopman, Arno Siebes
Reducing the Frequent Pattern Set. ICDM Workshops (2006)
Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
Compression Picks Item Sets That Matter. PKDD (2006)
Arno Siebes, Muhammad Subianto, A. J. Feelders
Instability of Classifiers on Categorical Data. ICDM (2005)
Arno Siebes
Data Mining in Inductive Databases. KDID (2005)
Rainer Malik, Arno Siebes
CONAN: An Integrative System for Biomedical Literature Mining. EPIA (2005)
Jean-François Boulicaut, Katharina Morik, Arno Siebes
04161 Abstracts Collection - Detecting Local Patterns. Detecting Local Patterns (2004)
Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
Discovery of Regulatory Connections in Microarray Data. PKDD (2004)
Ronnie Bathoorn, Arno Siebes
Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. PKDD (2004)
Arno Siebes, Zbigniew R. Struzik
Complex Data: Mining Using Patterns. Pattern Detection and Discovery (2002)
Arno J. Knobbe, Arno Siebes, Bart Marseille
Involving Aggregate Functions in Multi-relational Search. PKDD (2002)
Arno J. Knobbe, Marc de Haas, Arno Siebes
Propositionalisation and Aggregates. PKDD (2001)
Robert Castelo, A. J. Feelders, Arno Siebes
MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA (2001)
Arno Siebes
Data Mining: Methods for Knowledge Discovery, by Krzystof Cios, Witold Pedrycz, and Roman Swiniarski, Kluwer, 1998. Artif. Intell. Medicine 19 (1) (2000)
Robert Castelo, Arno Siebes
Priors on network structures. Biasing the search for Bayesian networks. Int. J. Approx. Reason. 24 (1) (2000)
Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm
Visualizing association rules with interactive mosaic plots. KDD (2000)
Arno Siebes
BioInformatics: Databases + Data Mining (abstract). SOFSEM (2000)
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen
Multi-Relational Data Mining, Using UML for ILP. PKDD (2000)
Zbigniew R. Struzik, Arno Siebes
Measuring Time Series' Similarity through Large Singular Features Revealed with Wavelet Transformation. DEXA Workshop (1999)
Zbigniew R. Struzik, Arno Siebes
The Haar Wavelet Transform in the Time Series Similarity Paradigm. PKDD (1999)
Arno J. Knobbe, Arno Siebes, Danïel van der Wallen
Multi-relational Decision Tree Induction. PKDD (1999)
Zbigniew R. Struzik, Arno Siebes
Wavelet Transform in Similarity Paradigm. PAKDD (1998)
Johan van den Akker, Arno Siebes
Enriching Active Databases with Agent Technology. CIA (1997)
Arno Siebes, Martin L. Kersten
KESO: Minimizing Database Interaction. KDD (1997)
Sunil Choenni, Arno Siebes
Query Optimization to Support Data Mining. DEXA Workshop (1997)
Martin L. Kersten, Arno Siebes, Marcel Holsheimer, Fred Kwakkel
Research and Business Challenges in Data Mining Technology. BTW (1997)
Johan van den Akker, Arno Siebes
DEGAS: A Database of Autonomous Objects. Inf. Syst. 22 (2/3) (1997)
Johan van den Akker, Arno Siebes
DEGAS: Capturing Dynamics in Objects. CAiSE (1996)
Arno Siebes
Data Mining and the KESO Project. SOFSEM (1996)
Arno Siebes, Shalom Tsur, Jeffrey D. Ullman, Laurent Vieille, Carlo Zaniolo
Deductive Databases: Challenges, Opportunities and Future Directions (Panel Discussion). Logic in Databases (1996)
Johan van den Akker, Arno Siebes
Object Histories as a Foundation for an Active OODB. DEXA Workshop (1996)
Arno Siebes
Data Mining: What it is and how it is done. SEBD (1996)
Arno Siebes
Data Surveying: Foundations of an Inductive Query Language. KDD (1995)
Christiaan Thieme, Arno Siebes
Guiding Schema Integration by Behavioural Information. Inf. Syst. 20 (4) (1995)
Christiaan Thieme, Arno Siebes
An Approach to Schema Integratioin Based on Transformations and Behaviour CAiSE (1994)
Arno Siebes
Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. KDD Workshop (1994)
Christiaan Thieme, Arno Siebes
Schema Integration in Object-Oriented Databases CAiSE (1993)
Leonie van der Voort, Arno Siebes
Enforcing Confluence of Rule Execution. Rules in Database Systems (1993)
Leonie van der Voort, Arno Siebes
Termination and Confluence of Rule Execution. CIKM (1993)
Arno Siebes, M. H. van der Voort, Martin L. Kersten
Towards a design theory for Database triggers. DEXA (1992)
Arno Siebes, Martin L. Kersten
Using Design Axioms and Topology to Model Database Semantics. VLDB (1987)