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Arno Siebes
2010 – today
- 2012
[c54]- [c53]
- [e8]Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu (Eds.): 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
- [e7]Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu (Eds.): 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
- 2011
- [j9]Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes: Krimp: mining itemsets that compress. Data Min. Knowl. Discov. 23(1): 169-214 (2011)
- [c52]
- 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. Journal of Biomedical Informatics 43(4): 578-586 (2010)
- [c51]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
2000 – 2009
- 2009
- [j7]Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes: Identifying the components. Data Min. Knowl. Discov. 19(2): 176-193 (2009)
- [c50]Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, Arno Siebes: Compressing tags to find interesting media groups. CIKM 2009: 1147-1156
- [c49]
- [c48]Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes: Identifying the Components. ECML/PKDD (1) 2009: 32
- [c47]Arno Siebes, Diyah Puspitaningrum: Mining Databases to Mine Queries Faster. ECML/PKDD (2) 2009: 382-397
- [c46]Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila: Low-Entropy Set Selection. SDM 2009: 569-580
- [e6]Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut (Eds.): 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
- 2008
- [c45]Jilles Vreeken, Arno Siebes: Filling in the Blanks - Krimp Minimisation for Missing Data. ICDM 2008: 1067-1072
- [c44]Matthijs van Leeuwen, Arno Siebes: StreamKrimp: Detecting Change in Data Streams. ECML/PKDD (1) 2008: 672-687
- [c43]
- 2007
- [c42]Michael R. Berthold, Katharina Morik, Arno Siebes: 07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007
- [c41]Michael R. Berthold, Katharina Morik, Arno Siebes: 07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007
- [c40]
- [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]
- [e5]Michael R. Berthold, Katharina Morik, Arno Siebes (Eds.): 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
- 2006
- [j6]Rainer Malik, Lude Franke, Arno Siebes: Combination of text-mining algorithms increases the performance. Bioinformatics 22(17): 2151-2157 (2006)
- [j5]
- [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]
- 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]
- [e4]Katharina Morik, Jean-François Boulicaut, Arno Siebes (Eds.): 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
- [e3]A. Fazel Famili, Joost N. Kok, José María Peña, Arno Siebes, A. J. Feelders (Eds.): 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
- [e2]Bart Goethals, Arno Siebes (Eds.): 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
- 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
- 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]
- [e1]Luc De Raedt, Arno Siebes (Eds.): 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
- 2000
- [j4]Arno Siebes: Data Mining: Methods for Knowledge Discovery, by Krzystof Cios, Witold Pedrycz, and Roman Swiniarski, Kluwer, 1998. Artificial Intelligence in Medicine 19(1): 91-94 (2000)
- [j3]Robert Castelo, Arno Siebes: Priors on network structures. Biasing the search for Bayesian networks. Int. J. Approx. Reasoning 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]
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]
- 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]
- [c14]
- 1996
- [c13]
- [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]
- [c9]
- 1995
- [j1]Christiaan Thieme, Arno Siebes: Guiding Schema Integration by Behavioural Information. Inf. Syst. 20(4): 305-316 (1995)
- [c8]
- 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]
- [c4]
- [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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last updated on 2013-10-02 10:58 CEST by the dblp team