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ORCIDArno Siebes
Arno P. J. M. Siebes
Person information
- affiliation: Utrecht University, Netherlands
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2020 – today
- 2024
[i8]Michiel P. Bron, Peter G. M. van der Heijden
, A. J. Feelders, Arno P. J. M. Siebes:
Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review. CoRR abs/2404.01176 (2024)- 2023
- [e12]Bart Goethals, Céline Robardet, Arno Siebes:
Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), Grenoble, France, September 19-23, 2022. CEUR Workshop Proceedings 3334, CEUR-WS.org 2023 [contents] - [i7]Jie Shi, Arno P. J. M. Siebes, Siamak Mehrkanoon:
TransCORALNet: A Two-Stream Transformer CORAL Networks for Supply Chain Credit Assessment Cold Start. CoRR abs/2311.18749 (2023) - 2021
- [j14]Michael R. Berthold, Alexander Fillbrunn, Arno Siebes:
Widening: using parallel resources to improve model quality. Data Min. Knowl. Discov. 35(4): 1258-1286 (2021) - [j13]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, 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): 1-6 (2021) - 2020
- [j12]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, 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): 61-66 (2020) - [i6]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, 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 abs/2004.05222 (2020)
2010 – 2019
- 2018
- [j11]Arno Siebes:
Data science as a language: challenges for computer science - a position paper. Int. J. Data Sci. Anal. 6(3): 177-187 (2018) - [e11]Wouter Duivesteijn, Arno Siebes, Antti Ukkonen:
Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings. Lecture Notes in Computer Science 11191, Springer 2018, ISBN 978-3-030-01767-5 [contents] - 2017
- [j10]Thomas E. Krak, Jasper De Bock, Arno Siebes:
Imprecise continuous-time Markov chains. Int. J. Approx. Reason. 88: 452-528 (2017) - [c58]Thomas E. Krak, Jasper De Bock, Arno Siebes:
Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains. ISIPTA 2017: 193-204 - [c57]Roel Bertens, Jilles Vreeken, Arno Siebes:
Efficiently Discovering Unexpected Pattern-Co-Occurrences. SDM 2017: 126-134 - 2016
- [c56]Arno Siebes:
Sharing Data with Guaranteed Privacy. Solving Large Scale Learning Tasks 2016: 96-108 - [c55]Roel Bertens, Jilles Vreeken, Arno Siebes:
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. KDD 2016: 735-744 - 2015
- [i5]Roel Bertens, Jilles Vreeken, Arno Siebes:
Beauty and Brains: Detecting Anomalous Pattern Co-Occurrences. CoRR abs/1512.07048 (2015) - [i4]Roel Bertens, Jilles Vreeken, Arno Siebes:
Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. CoRR abs/1512.07056 (2015) - 2014
- [c54]Arno Siebes:
MDL in Pattern Mining A Brief Introduction to Krimp. ICFCA 2014: 37-43 - [c53]Roel Bertens, Arno Siebes:
Characterising Seismic Data. SDM 2014: 884-892 - 2013
- [e10]Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift:
Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013. Proceedings. Lecture Notes in Computer Science 8207, Springer 2013, ISBN 978-3-642-41397-1 [contents] - 2012
- [c52]Arno Siebes:
Queries for Data Analysis. IDA 2012: 7-22 - [c51]Arno Siebes, René Kersten:
Smoothing Categorical Data. ECML/PKDD (1) 2012: 42-57 - [e9]Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu:
12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-4649-8 [contents] - [e8]Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu:
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-5164-5 [contents] - 2011
- [j9]Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes:
Krimp: mining itemsets that compress. Data Min. Knowl. Discov. 23(1): 169-214 (2011) - [c50]Arno Siebes, René Kersten:
A Structure Function for Transaction Data. SDM 2011: 558-569 - 2010
- [j8]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): 578-586 (2010) - [c49]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: 253-263 - [p2]Arno Siebes, Diyah Puspitaningrum:
Patterns on Queries. Inductive Databases and Constraint-Based Data Mining 2010: 311-334
2000 – 2009
- 2009
- [j7]Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes:
Identifying the components. Data Min. Knowl. Discov. 19(2): 176-193 (2009) - [c48]Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, Arno Siebes:
Compressing tags to find interesting media groups. CIKM 2009: 1147-1156 - [c47]Arne Koopman, Arno Siebes:
Characteristic relational patterns. KDD 2009: 437-446 - [c46]Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes:
Identifying the Components. ECML/PKDD (1) 2009: 32 - [c45]Arno Siebes, Diyah Puspitaningrum:
Mining Databases to Mine Queries Faster. ECML/PKDD (2) 2009: 382-397 - [c44]Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila:
Low-Entropy Set Selection. SDM 2009: 569-580 - [e7]Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut:
Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings. Lecture Notes in Computer Science 5772, Springer 2009, ISBN 978-3-642-03914-0 [contents] - 2008
- [c43]Jilles Vreeken, Arno Siebes:
Filling in the Blanks - Krimp Minimisation for Missing Data. ICDM 2008: 1067-1072 - [c42]Matthijs van Leeuwen, Arno Siebes:
StreamKrimp: Detecting Change in Data Streams. ECML/PKDD (1) 2008: 672-687 - [c41]Arne Koopman, Arno Siebes:
Discovering Relational Items Sets Efficiently. SDM 2008: 108-119 - 2007
- [c40]Ronnie Bathoorn, Arno Siebes:
Finding Composite Episodes. MCD 2007: 157-168 - [c39]Muhammad Subianto, Arno Siebes:
Understanding Discrete Classifiers with a Case Study in Gene Prediction. ICDM 2007: 661-666 - [c38]Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes:
Preserving Privacy through Data Generation. ICDM 2007: 685-690 - [c37]Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes:
Characterising the difference. KDD 2007: 765-774 - [e6]Michael R. Berthold, Katharina Morik, Arno Siebes:
Parallel Universes and Local Patterns, 01.05. - 04.05.2007. Dagstuhl Seminar Proceedings 07181, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 [contents] - [i3]Michael R. Berthold, Katharina Morik, Arno Siebes:
07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007 - [i2]Michael R. Berthold, Katharina Morik, Arno Siebes:
07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007 - 2006
- [j6]Rainer Malik, Lude Franke, Arno Siebes:
Combination of text-mining algorithms increases the performance. Bioinform. 22(17): 2151-2157 (2006) - [j5]Joost N. Kok, José María Peña Sánchez, Arno Siebes:
Introduction. Intell. Data Anal. 10(5): 395 (2006) - [c36]Ronnie Bathoorn, Arne Koopman, Arno Siebes:
Reducing the Frequent Pattern Set. ICDM Workshops 2006: 55-59 - [c35]Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes:
Compression Picks Item Sets That Matter. PKDD 2006: 585-592 - [c34]Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen:
Item Sets that Compress. SDM 2006: 395-406 - 2005
- [c33]Rainer Malik, Arno Siebes:
CONAN: An Integrative System for Biomedical Literature Mining. EPIA 2005: 248-259 - [c32]Arno Siebes, Muhammad Subianto, A. J. Feelders:
Instability of Classifiers on Categorical Data. ICDM 2005: 769-772 - [c31]Arno Siebes:
Data Mining in Inductive Databases. KDID 2005: 1-23 - [e5]Katharina Morik, Jean-François Boulicaut, Arno Siebes:
Local Pattern Detection, International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3539, Springer 2005, ISBN 3-540-26543-0 [contents] - [e4]A. Fazel Famili, Joost N. Kok, José María Peña Sánchez, Arno Siebes, A. J. Feelders:
Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings. Lecture Notes in Computer Science 3646, Springer 2005, ISBN 3-540-28795-7 [contents] - [e3]Bart Goethals, Arno Siebes:
KDID 2004, Knowledge Discovery in Inductive Databases, Proceedings of the Third International Workshop on Knowledge Discovery inInductive Databases, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers. Lecture Notes in Computer Science 3377, Springer 2005, ISBN 3-540-25082-4 [contents] - 2004
- [c30]Michael Egmont-Petersen, Wim de Jonge, Arno Siebes:
Discovery of Regulatory Connections in Microarray Data. PKDD 2004: 149-160 - [c29]Ronnie Bathoorn, Arno Siebes:
Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. PKDD 2004: 500-502 - [e2]Jean-François Boulicaut, Katharina Morik, Arno Siebes:
Detecting Local Patterns, 12.04. - 16.04.2004. Dagstuhl Seminar Proceedings 04161, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2004 [contents] - [i1]Jean-François Boulicaut, Katharina Morik, Arno Siebes:
04161 Abstracts Collection - Detecting Local Patterns. Detecting Local Patterns 2004 - 2002
- [c28]Arno Siebes, Zbigniew R. Struzik:
Complex Data: Mining Using Patterns. Pattern Detection and Discovery 2002: 24-35 - [c27]Arno J. Knobbe, Arno Siebes, Bart Marseille:
Involving Aggregate Functions in Multi-relational Search. PKDD 2002: 287-298 - 2001
- [c26]Robert Castelo, A. J. Feelders, Arno Siebes:
MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA 2001: 289-298 - [c25]Arno J. Knobbe, Marc de Haas, Arno Siebes:
Propositionalisation and Aggregates. PKDD 2001: 277-288 - [e1]Luc De Raedt, Arno Siebes:
Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings. Lecture Notes in Computer Science 2168, Springer 2001, ISBN 3-540-42534-9 [contents] - 2000
- [j4]Arno Siebes:
Data Mining: Methods for Knowledge Discovery, by Krzystof Cios, Witold Pedrycz, and Roman Swiniarski, Kluwer, 1998. Artif. Intell. Medicine 19(1): 91-94 (2000) - [j3]Robert Castelo, Arno Siebes:
Priors on network structures. Biasing the search for Bayesian networks. Int. J. Approx. Reason. 24(1): 39-57 (2000) - [c24]Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm:
Visualizing association rules with interactive mosaic plots. KDD 2000: 227-235 - [c23]Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen:
Multi-Relational Data Mining, Using UML for ILP. PKDD 2000: 1-12 - [c22]Arno Siebes:
BioInformatics: Databases + Data Mining (abstract). SOFSEM 2000: 54-55 - [p1]Arno Siebes:
Data Mining and Statistics. Computational Intelligence in Data Mining 2000: 1-38
1990 – 1999
- 1999
- [c21]Zbigniew R. Struzik, Arno Siebes:
Measuring Time Series' Similarity through Large Singular Features Revealed with Wavelet Transformation. DEXA Workshop 1999: 162-166 - [c20]Zbigniew R. Struzik, Arno Siebes:
The Haar Wavelet Transform in the Time Series Similarity Paradigm. PKDD 1999: 12-22 - [c19]Arno J. Knobbe, Arno Siebes, Danïel van der Wallen:
Multi-relational Decision Tree Induction. PKDD 1999: 378-383 - 1998
- [c18]Zbigniew R. Struzik, Arno Siebes:
Wavelet Transform in Similarity Paradigm. PAKDD 1998: 295-309 - 1997
- [j2]Johan van den Akker, Arno Siebes:
DEGAS: A Database of Autonomous Objects. Inf. Syst. 22(2/3): 121-138 (1997) - [c17]Martin L. Kersten, Arno Siebes, Marcel Holsheimer, Fred Kwakkel:
Research and Business Challenges in Data Mining Technology. BTW 1997: 1-16 - [c16]Johan van den Akker, Arno Siebes:
Enriching Active Databases with Agent Technology. CIA 1997: 116-125 - [c15]Sunil Choenni, Arno Siebes:
Query Optimization to Support Data Mining. DEXA Workshop 1997: 658-663 - [c14]Arno Siebes, Martin L. Kersten:
KESO: Minimizing Database Interaction. KDD 1997: 247-250 - 1996
- [c13]Johan van den Akker, Arno Siebes:
DEGAS: Capturing Dynamics in Objects. CAiSE 1996: 82-98 - [c12]Johan van den Akker, Arno Siebes:
Object Histories as a Foundation for an Active OODB. DEXA Workshop 1996: 2-8 - [c11]Arno Siebes, Shalom Tsur, Jeffrey D. Ullman, Laurent Vieille, Carlo Zaniolo:
Deductive Databases: Challenges, Opportunities and Future Directions (Panel Discussion). Logic in Databases 1996: 225-229 - [c10]Arno Siebes:
Data Mining: What it is and how it is done. SEBD 1996: 329-344 - [c9]Arno Siebes:
Data Mining and the KESO Project. SOFSEM 1996: 161-177 - 1995
- [j1]Christiaan Thieme, Arno Siebes:
Guiding Schema Integration by Behavioural Information. Inf. Syst. 20(4): 305-316 (1995) - [c8]Arno Siebes:
Data Surveying: Foundations of an Inductive Query Language. KDD 1995: 269-274 - 1994
- [c7]Christiaan Thieme, Arno Siebes:
An Approach to Schema Integratioin Based on Transformations and Behaviour. CAiSE 1994: 297-310 - [c6]Arno Siebes:
Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. KDD Workshop 1994: 97-108 - 1993
- [c5]Christiaan Thieme, Arno Siebes:
Schema Integration in Object-Oriented Databases. CAiSE 1993: 54-70 - [c4]Leonie van der Voort, Arno Siebes:
Termination and Confluence of Rule Execution. CIKM 1993: 245-255 - [c3]Leonie van der Voort, Arno Siebes:
Enforcing Confluence of Rule Execution. Rules in Database Systems 1993: 194-207 - 1992
- [c2]Arno Siebes, M. H. van der Voort, Martin L. Kersten:
Towards a design theory for Database triggers. DEXA 1992: 338-344
1980 – 1989
- 1987
- [c1]Arno Siebes, Martin L. Kersten:
Using Design Axioms and Topology to Model Database Semantics. VLDB 1987: 51-59
Coauthor Index
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