Arno Siebes - RankMe

100 papers A* 13A 11B 9C 2Misc 2Journal 24Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reinforcement learning for road pricing: a review and future directions. Artif. Intell. Rev. Otto Vermeulen, Arno Siebes, Yannis Velegrakis
2025	A*	`conf`	Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. AAAI Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes
2025	J	`jnl`	Methods in dynamic treatment regimens using observational healthcare data: A systematic review. Comput. Methods Programs Biomed. David Liang, Animesh Kumar Paul, Daniala L. Weir, Vera H. M. Deneer, Russell Greiner, Arno Siebes, Helga Gardarsdottir
2025	J	`jnl`	New Trends in Data Forgetting for Sustainable Data Management. Proc. VLDB Endow. Ramón Rico, Arno Siebes, Yannis Velegrakis
2025	J	`jnl`	Stochastic Submodular Data Forgetting. Proc. ACM Manag. Data Ramón Rico, Arno Siebes, Yannis Velegrakis
2025	J	`jnl`	Using Chao's Estimator as a Stopping Criterion for Technology-Assisted Review. ACM Trans. Inf. Syst. Michiel P. Bron, Peter G. M. van der Heijden, Ad Feelders, Arno Siebes
2024	J	`jnl`	Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams. CoRR Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy, Tineke Jelsma, Arno Siebes
2024	J	`jnl`	Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting. CoRR Haotian Li, Arno Siebes, Siamak Mehrkanoon
2023	—	`ed.`	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. KDID Bart Goethals, Céline Robardet, Arno Siebes
2021	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 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
2021	J	`jnl`	Widening: using parallel resources to improve model quality. Data Min. Knowl. Discov. Michael R. Berthold, Alexander Fillbrunn, Arno Siebes
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR 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
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 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
2018	B	`ed.`	Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings IDA Wouter Duivesteijn, Arno Siebes, Antti Ukkonen
2018	J	`jnl`	Data science as a language: challenges for computer science - a position paper. Int. J. Data Sci. Anal. Arno Siebes
2017	—	`conf`	Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains. ISIPTA Thomas E. Krak, Jasper De Bock, Arno Siebes
2017	A	`conf`	Efficiently Discovering Unexpected Pattern-Co-Occurrences. SDM Roel Bertens, Jilles Vreeken, Arno Siebes
2017	J	`jnl`	Imprecise continuous-time Markov chains. Int. J. Approx. Reason. Thomas E. Krak, Jasper De Bock, Arno Siebes
2016	A*	`conf`	Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. KDD Roel Bertens, Jilles Vreeken, Arno Siebes
2016	—	`conf`	Sharing Data with Guaranteed Privacy. Solving Large Scale Learning Tasks Arno Siebes
2015	J	`jnl`	Beauty and Brains: Detecting Anomalous Pattern Co-Occurrences. CoRR Roel Bertens, Jilles Vreeken, Arno Siebes
2015	J	`jnl`	Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. CoRR Roel Bertens, Jilles Vreeken, Arno Siebes
2014	A	`conf`	Characterising Seismic Data. SDM Roel Bertens, Arno Siebes
2014	C	`conf`	MDL in Pattern Mining A Brief Introduction to Krimp. ICFCA Arno Siebes
2013	B	`ed.`	Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013. Proceedings IDA Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
2012	—	`ed.`	12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012 ICDM Workshops Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012	A*	`ed.`	12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012 ICDM Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu
2012	B	`conf`	Queries for Data Analysis. IDA Arno Siebes
2012	—	`conf`	Smoothing Categorical Data. ECML/PKDD (1) Arno Siebes, René Kersten
2011	A	`conf`	A Structure Function for Transaction Data. SDM Arno Siebes, René Kersten
2011	J	`jnl`	Krimp: mining itemsets that compress. Data Min. Knowl. Discov. Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2010	—	`conf`	Frequent Episode Mining to Support Pattern Analysis in Developmental Biology. PRIB Ronnie Bathoorn, Monique C. M. Welten, Michael Richardson, Arno Siebes, Fons J. Verbeek
2010	J	`jnl`	Learning predictive models that use pattern discovery - A bootstrap evaluative approach applied in organ functioning sequences. J. Biomed. Informatics Tudor Toma, Robert-Jan Bosman, Arno Siebes, Niels Peek, Ameen Abu-Hanna
2010	—	`ch.`	Patterns on Queries. Inductive Databases and Constraint-Based Data Mining Arno Siebes, Diyah Puspitaningrum
2009	B	`ed.`	Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings IDA Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut
2009	A*	`conf`	Characteristic relational patterns. KDD Arne Koopman, Arno Siebes
2009	A	`conf`	Compressing tags to find interesting media groups. CIKM Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, Arno Siebes
2009	—	`conf`	Identifying the Components. ECML/PKDD (1) Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2009	J	`jnl`	Identifying the components. Data Min. Knowl. Discov. Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2009	A	`conf`	Low-Entropy Set Selection. SDM Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila
2009	—	`conf`	Mining Databases to Mine Queries Faster. ECML/PKDD (2) Arno Siebes, Diyah Puspitaningrum
2008	A	`conf`	Discovering Relational Items Sets Efficiently. SDM Arne Koopman, Arno Siebes
2008	A*	`conf`	Filling in the Blanks - Krimp Minimisation for Missing Data. ICDM Jilles Vreeken, Arno Siebes
2008	—	`conf`	StreamKrimp: Detecting Change in Data Streams. ECML/PKDD (1) Matthijs van Leeuwen, Arno Siebes
2007	—	`conf`	07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	—	`conf`	07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	A*	`conf`	Characterising the difference. KDD Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2007	—	`conf`	Finding Composite Episodes. MCD Ronnie Bathoorn, Arno Siebes
2007	—	`ed.`	Parallel Universes and Local Patterns, 01.05. - 04.05.2007 Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	A*	`conf`	Preserving Privacy through Data Generation. ICDM Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
2007	A*	`conf`	Understanding Discrete Classifiers with a Case Study in Gene Prediction. ICDM Muhammad Subianto, Arno Siebes
2006	J	`jnl`	Combination of text-mining algorithms increases the performance. Bioinform. Rainer Malik, Lude Franke, Arno Siebes
2006	—	`conf`	Compression Picks Item Sets That Matter. PKDD Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
2006	J	`jnl`	Introduction. Intell. Data Anal. Joost N. Kok, José María Peña Sánchez, Arno Siebes
2006	A	`conf`	Item Sets that Compress. SDM Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen
2006	—	`conf`	Reducing the Frequent Pattern Set. ICDM Workshops Ronnie Bathoorn, Arne Koopman, Arno Siebes
2005	B	`ed.`	Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings IDA A. Fazel Famili, Joost N. Kok, José María Peña Sánchez, Arno Siebes, A. J. Feelders
2005	Misc	`conf`	CONAN: An Integrative System for Biomedical Literature Mining. EPIA Rainer Malik, Arno Siebes
2005	—	`conf`	Data Mining in Inductive Databases. KDID Arno Siebes
2005	A*	`conf`	Instability of Classifiers on Categorical Data. ICDM Arno Siebes, Muhammad Subianto, A. J. Feelders
2005	—	`ed.`	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 KDID Bart Goethals, Arno Siebes
2005	—	`ed.`	Local Pattern Detection, International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers Local Pattern Detection Katharina Morik, Jean-François Boulicaut, Arno Siebes
2004	—	`conf`	04161 Abstracts Collection - Detecting Local Patterns. Detecting Local Patterns Jean-François Boulicaut, Katharina Morik, Arno Siebes
2004	—	`conf`	Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. PKDD Ronnie Bathoorn, Arno Siebes
2004	—	`ed.`	Detecting Local Patterns, 12.04. - 16.04.2004 Detecting Local Patterns Jean-François Boulicaut, Katharina Morik, Arno Siebes
2004	—	`conf`	Discovery of Regulatory Connections in Microarray Data. PKDD Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
2002	—	`conf`	Complex Data: Mining Using Patterns. Pattern Detection and Discovery Arno Siebes, Zbigniew R. Struzik
2002	—	`conf`	Involving Aggregate Functions in Multi-relational Search. PKDD Arno J. Knobbe, Arno Siebes, Bart Marseille
2001	B	`conf`	MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA Robert Castelo, A. J. Feelders, Arno Siebes
2001	—	`ed.`	Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings PKDD Luc De Raedt, Arno Siebes
2001	—	`conf`	Propositionalisation and Aggregates. PKDD Arno J. Knobbe, Marc de Haas, Arno Siebes
2000	B	`conf`	BioInformatics: Databases + Data Mining (abstract). SOFSEM Arno Siebes
2000	—	`ch.`	Data Mining and Statistics. Computational Intelligence in Data Mining Arno Siebes
2000	J	`jnl`	Data Mining: Methods for Knowledge Discovery, by Krzystof Cios, Witold Pedrycz, and Roman Swiniarski, Kluwer, 1998. Artif. Intell. Medicine Arno Siebes
2000	—	`conf`	Multi-Relational Data Mining, Using UML for ILP. PKDD Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen
2000	J	`jnl`	Priors on network structures. Biasing the search for Bayesian networks. Int. J. Approx. Reason. Robert Castelo, Arno Siebes
2000	A*	`conf`	Visualizing association rules with interactive mosaic plots. KDD Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm
1999	—	`conf`	Measuring Time Series' Similarity through Large Singular Features Revealed with Wavelet Transformation. DEXA Workshop Zbigniew R. Struzik, Arno Siebes
1999	—	`conf`	Multi-relational Decision Tree Induction. PKDD Arno J. Knobbe, Arno Siebes, Danïel van der Wallen
1999	—	`conf`	The Haar Wavelet Transform in the Time Series Similarity Paradigm. PKDD Zbigniew R. Struzik, Arno Siebes
1998	B	`conf`	Wavelet Transform in Similarity Paradigm. PAKDD Zbigniew R. Struzik, Arno Siebes
1997	J	`jnl`	DEGAS: A Database of Autonomous Objects. Inf. Syst. Johan van den Akker, Arno Siebes
1997	—	`conf`	Enriching Active Databases with Agent Technology. CIA Johan van den Akker, Arno Siebes
1997	A*	`conf`	KESO: Minimizing Database Interaction. KDD Arno Siebes, Martin L. Kersten
1997	—	`conf`	Query Optimization to Support Data Mining. DEXA Workshop Sunil Choenni, Arno Siebes
1997	Misc	`conf`	Research and Business Challenges in Data Mining Technology. BTW Martin L. Kersten, Arno Siebes, Marcel Holsheimer, Fred Kwakkel
1996	A	`conf`	DEGAS: Capturing Dynamics in Objects. CAiSE Johan van den Akker, Arno Siebes
1996	B	`conf`	Data Mining and the KESO Project. SOFSEM Arno Siebes
1996	—	`conf`	Data Mining: What it is and how it is done. SEBD Arno Siebes
1996	—	`conf`	Deductive Databases: Challenges, Opportunities and Future Directions (Panel Discussion). Logic in Databases Arno Siebes, Shalom Tsur, Jeffrey D. Ullman, Laurent Vieille, Carlo Zaniolo
1996	—	`conf`	Object Histories as a Foundation for an Active OODB. DEXA Workshop Johan van den Akker, Arno Siebes
1995	A*	`conf`	Data Surveying: Foundations of an Inductive Query Language. KDD Arno Siebes
1995	J	`jnl`	Guiding Schema Integration by Behavioural Information. Inf. Syst. Christiaan Thieme, Arno Siebes
1994	A	`conf`	An Approach to Schema Integratioin Based on Transformations and Behaviour CAiSE Christiaan Thieme, Arno Siebes
1994	—	`conf`	Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. KDD Workshop Arno Siebes
1993	—	`conf`	Enforcing Confluence of Rule Execution. Rules in Database Systems Leonie van der Voort, Arno Siebes
1993	A	`conf`	Schema Integration in Object-Oriented Databases CAiSE Christiaan Thieme, Arno Siebes
1993	A	`conf`	Termination and Confluence of Rule Execution. CIKM Leonie van der Voort, Arno Siebes
1992	C	`conf`	Towards a design theory for Database triggers. DEXA Arno Siebes, M. H. van der Voort, Martin L. Kersten
1987	A*	`conf`	Using Design Axioms and Topology to Model Database Semantics. VLDB Arno Siebes, Martin L. Kersten