| |
 |      |
                                               |
Note: Links lead to the DBLP on the Web. Arno Siebes 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 Springer 2005 Katharina Morik , Jean-François Boulicaut , Arno Siebes: Local Pattern Detection, International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers Springer 2005 A. Fazel Famili , Joost N. Kok , José Manuel Peña , 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 Springer 2005 Rainer Malik , Arno Siebes: CONAN: An Integrative System for Biomedical Literature Mining. EPIA 2005 : 248-259 Arno Siebes, Muhammad Subianto , A. J. Feelders : Instability of Classifiers on Categorical Data. ICDM 2005 : 769-772 Arno Siebes: Data Mining in Inductive Databases. KDID 2005 : 1-23 Michael Egmont-Petersen , Wim de Jonge , Arno Siebes: Discovery of Regulatory Connections in Microarray Data. PKDD 2004 : 149-160 Ronnie Bathoorn , Arno Siebes: Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. PKDD 2004 : 500-502 Arno J. Knobbe , Arno Siebes, Bart Marseille : Involving Aggregate Functions in Multi-relational Search. PKDD 2002 : 287-298 Arno Siebes, Zbigniew R. Struzik : Complex Data: Mining Using Patterns. Pattern Detection and Discovery 2002 : 24-35 Luc De Raedt , Arno Siebes: Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings Springer 2001 Robert Castelo , A. J. Feelders , Arno Siebes: MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA 2001 : 289-298 Arno J. Knobbe , Marc de Haas , Arno Siebes: Propositionalisation and Aggregates. PKDD 2001 : 277-288 Heike Hofmann , Arno Siebes, Adalbert F. X. Wilhelm : Visualizing association rules with interactive mosaic plots. KDD 2000 : 227-235 Arno J. Knobbe , Arno Siebes, Hendrik Blockeel , Danïel van der Wallen : Multi-Relational Data Mining, Using UML for ILP. PKDD 2000 : 1-12 Arno Siebes: BioInformatics: Databases + Data Mining (abstract). SOFSEM 2000 : 54-55 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) Robert Castelo , Arno Siebes: Priors on network structures. Biasing the search for Bayesian networks. Int. J. Approx. Reasoning 24 (1): 39-57 (2000) Zbigniew R. Struzik , Arno Siebes: Measuring Time Series' Similarity through Large Singular Features Revealed with Wavelet Transformation. DEXA Workshop 1999 : 162-166 Zbigniew R. Struzik , Arno Siebes: The Haar Wavelet Transform in the Time Series Similarity Paradigm. PKDD 1999 : 12-22 Arno J. Knobbe , Arno Siebes, Danïel van der Wallen : Multi-relational Decision Tree Induction. PKDD 1999 : 378-383 Zbigniew R. Struzik , Arno Siebes: Wavelet Transform in Similarity Paradigm. PAKDD 1998 : 295-309 Martin L. Kersten , Arno Siebes, Marcel Holsheimer , Fred Kwakkel : Research and Business Challenges in Data Mining Technology. BTW 1997 : 1-16 Johan van den Akker , Arno Siebes: Enriching Active Databases with Agent Technology. CIA 1997 : 116-125 Sunil Choenni , Arno Siebes: Query Optimization to Support Data Mining. DEXA Workshop 1997 : 658-663 Arno Siebes, Martin L. Kersten : KESO: Minimizing Database Interaction. KDD 1997 : 247-250 Johan van den Akker , Arno Siebes: DEGAS: A Database of Autonomous Objects. Inf. Syst. 22 (2/3): 121-138 (1997) Johan van den Akker , Arno Siebes: DEGAS: Capturing Dynamics in Objects. CAiSE 1996 : 82-98 Johan van den Akker , Arno Siebes: Object Histories as a Foundation for an Active OODB. DEXA Workshop 1996 : 2-8 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 Arno Siebes: Data Mining: What it is and how it is done. SEBD 1996 : 329-344 Arno Siebes: Data Mining and the KESO Project. SOFSEM 1996 : 161-177 Arno Siebes: Data Surveying: Foundations of an Inductive Query Language. KDD 1995 : 269-274 Christiaan Thieme , Arno Siebes: Guiding Schema Integration by Behavioural Information. Inf. Syst. 20 (4): 305-316 (1995) Christiaan Thieme , Arno Siebes: An Approach to Schema Integratioin Based on Transformations and Behaviour CAiSE 1994 : 297-310 Arno Siebes: Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. KDD Workshop 1994 : 97-108 Christiaan Thieme , Arno Siebes: Schema Integration in Object-Oriented Databases CAiSE 1993 : 54-70 Leonie van der Voort , Arno Siebes: Termination and Confluence of Rule Execution. CIKM 1993 : 245-255 Leonie van der Voort , Arno Siebes: Enforcing Confluence of Rule Execution. Rules in Database Systems 1993 : 194-207 Arno Siebes, M. H. van der Voort , Martin L. Kersten : Towards a design theory for Database triggers. DEXA 1992 : 338-344 Arno Siebes, Martin L. Kersten : Using Design Axioms and Topology to Model Database Semantics. VLDB 1987 : 51-59 1 [ 13 ] [ 14 ] [ 15 ] [ 18 ] 2 [ 34 ] 3 [ 27 ] 4 [ 40 ] 5 [ 24 ] [ 30 ] 6 [ 17 ] 7 [ 35 ] 8 [ 39 ] 9 [ 30 ] [ 37 ] [ 39 ] 10 [ 41 ] 11 [ 29 ] 12 [ 28 ] 13 [ 19 ] 14 [ 35 ] 15 [ 1 ] [ 2 ] [ 16 ] [ 19 ] 16 [ 21 ] [ 27 ] [ 29 ] [ 33 ] 17 [ 39 ] 18 [ 19 ] 19 [ 38 ] 20 [ 33 ] 21 [ 40 ] 22 [ 39 ] 23 [ 31 ] 24 [ 20 ] [ 22 ] [ 23 ] [ 32 ] 25 [ 37 ] 26 [ 5 ] [ 7 ] [ 8 ] 27 [ 12 ] 28 [ 12 ] 29 [ 12 ] 30 [ 3 ] [ 4 ] 31 [ 2 ] 32 [ 21 ] [ 27 ] 33 [ 28 ] 34 [ 12 ]  ©2006 Association for Computing Machinery |
