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Arno Siebes: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Leonie van der Voort, Arno Siebes
    Termination and Confluence of Rule Execution. [Citation Graph (6, 0)][DBLP]
    CIKM, 1993, pp:245-255 [Conf]
  2. Christiaan Thieme, Arno Siebes
    Schema Integration in Object-Oriented Databases [Citation Graph (4, 0)][DBLP]
    CAiSE, 1993, pp:54-70 [Conf]
  3. Sunil Choenni, Arno Siebes
    Query Optimization to Support Data Mining. [Citation Graph (2, 0)][DBLP]
    DEXA Workshop, 1997, pp:658-663 [Conf]
  4. Leonie van der Voort, Arno Siebes
    Enforcing Confluence of Rule Execution. [Citation Graph (2, 0)][DBLP]
    Rules in Database Systems, 1993, pp:194-207 [Conf]
  5. Christiaan Thieme, Arno Siebes
    Guiding Schema Integration by Behavioural Information. [Citation Graph (2, 0)][DBLP]
    Inf. Syst., 1995, v:20, n:4, pp:305-316 [Journal]
  6. Christiaan Thieme, Arno Siebes
    An Approach to Schema Integratioin Based on Transformations and Behaviour [Citation Graph (1, 0)][DBLP]
    CAiSE, 1994, pp:297-310 [Conf]
  7. Martin L. Kersten, Arno Siebes, Marcel Holsheimer, Fred Kwakkel
    Research and Business Challenges in Data Mining Technology. [Citation Graph (0, 0)][DBLP]
    BTW, 1997, pp:1-16 [Conf]
  8. Johan van den Akker, Arno Siebes
    DEGAS: Capturing Dynamics in Objects. [Citation Graph (0, 0)][DBLP]
    CAiSE, 1996, pp:82-98 [Conf]
  9. Johan van den Akker, Arno Siebes
    Enriching Active Databases with Agent Technology. [Citation Graph (0, 0)][DBLP]
    CIA, 1997, pp:116-125 [Conf]
  10. Arno Siebes, M. H. van der Voort, Martin L. Kersten
    Towards a design theory for Database triggers. [Citation Graph (0, 0)][DBLP]
    DEXA, 1992, pp:338-344 [Conf]
  11. Johan van den Akker, Arno Siebes
    Object Histories as a Foundation for an Active OODB. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 1996, pp:2-8 [Conf]
  12. Zbigniew R. Struzik, Arno Siebes
    Measuring Time Series' Similarity through Large Singular Features Revealed with Wavelet Transformation. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 1999, pp:162-166 [Conf]
  13. Rainer Malik, Arno Siebes
    CONAN: An Integrative System for Biomedical Literature Mining. [Citation Graph (0, 0)][DBLP]
    EPIA, 2005, pp:248-259 [Conf]
  14. Arno Siebes, Zbigniew R. Struzik
    Complex Data: Mining Using Patterns. [Citation Graph (0, 0)][DBLP]
    Pattern Detection and Discovery, 2002, pp:24-35 [Conf]
  15. Arno Siebes, Muhammad Subianto, A. J. Feelders
    Instability of Classifiers on Categorical Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:769-772 [Conf]
  16. Ronnie Bathoorn, Arne Koopman, Arno Siebes
    Reducing the Frequent Pattern Set. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:55-59 [Conf]
  17. Robert Castelo, A. J. Feelders, Arno Siebes
    MAMBO: Discovering Association Rules Based on Conditional Independencies. [Citation Graph (0, 0)][DBLP]
    IDA, 2001, pp:289-298 [Conf]
  18. Heike Hofmann, Arno Siebes, Adalbert F. X. Wilhelm
    Visualizing association rules with interactive mosaic plots. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:227-235 [Conf]
  19. Arno Siebes
    Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. [Citation Graph (0, 0)][DBLP]
    KDD Workshop, 1994, pp:97-108 [Conf]
  20. Arno Siebes
    Data Surveying: Foundations of an Inductive Query Language. [Citation Graph (0, 0)][DBLP]
    KDD, 1995, pp:269-274 [Conf]
  21. Arno Siebes, Martin L. Kersten
    KESO: Minimizing Database Interaction. [Citation Graph (0, 0)][DBLP]
    KDD, 1997, pp:247-250 [Conf]
  22. Arno Siebes
    Data Mining in Inductive Databases. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:1-23 [Conf]
  23. Arno Siebes, Shalom Tsur, Jeffrey D. Ullman, Laurent Vieille, Carlo Zaniolo
    Deductive Databases: Challenges, Opportunities and Future Directions (Panel Discussion). [Citation Graph (0, 0)][DBLP]
    Logic in Databases, 1996, pp:225-229 [Conf]
  24. Zbigniew R. Struzik, Arno Siebes
    Wavelet Transform in Similarity Paradigm. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1998, pp:295-309 [Conf]
  25. Ronnie Bathoorn, Arno Siebes
    Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:500-502 [Conf]
  26. Michael Egmont-Petersen, Wim de Jonge, Arno Siebes
    Discovery of Regulatory Connections in Microarray Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:149-160 [Conf]
  27. Arno J. Knobbe, Marc de Haas, Arno Siebes
    Propositionalisation and Aggregates. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:277-288 [Conf]
  28. Arno J. Knobbe, Arno Siebes, Bart Marseille
    Involving Aggregate Functions in Multi-relational Search. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:287-298 [Conf]
  29. Arno J. Knobbe, Arno Siebes, Danïel van der Wallen
    Multi-relational Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:378-383 [Conf]
  30. Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen
    Multi-Relational Data Mining, Using UML for ILP. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:1-12 [Conf]
  31. Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
    Compression Picks Item Sets That Matter. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:585-592 [Conf]
  32. Zbigniew R. Struzik, Arno Siebes
    The Haar Wavelet Transform in the Time Series Similarity Paradigm. [Citation Graph (0, 0)][DBLP]
    PKDD, 1999, pp:12-22 [Conf]
  33. Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen
    Item Sets that Compress. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  34. Arno Siebes
    Data Mining: What it is and how it is done. [Citation Graph (0, 0)][DBLP]
    SEBD, 1996, pp:329-344 [Conf]
  35. Arno Siebes
    BioInformatics: Databases + Data Mining (abstract). [Citation Graph (0, 0)][DBLP]
    SOFSEM, 2000, pp:54-55 [Conf]
  36. Arno Siebes
    Data Mining and the KESO Project. [Citation Graph (0, 0)][DBLP]
    SOFSEM, 1996, pp:161-177 [Conf]
  37. Arno Siebes, Martin L. Kersten
    Using Design Axioms and Topology to Model Database Semantics. [Citation Graph (0, 5)][DBLP]
    VLDB, 1987, pp:51-59 [Conf]
  38. Arno Siebes
    Data Mining: Methods for Knowledge Discovery, by Krzystof Cios, Witold Pedrycz, and Roman Swiniarski, Kluwer, 1998. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:19, n:1, pp:91-94 [Journal]
  39. Rainer Malik, Lude Franke, Arno Siebes
    Combination of text-mining algorithms increases the performance. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:17, pp:2151-2157 [Journal]
  40. Joost N. Kok, José María Peña, Arno Siebes
    Introduction. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:5, pp:395- [Journal]
  41. Robert Castelo, Arno Siebes
    Priors on network structures. Biasing the search for Bayesian networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2000, v:24, n:1, pp:39-57 [Journal]
  42. Johan van den Akker, Arno Siebes
    DEGAS: A Database of Autonomous Objects. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 1997, v:22, n:2/3, pp:121-138 [Journal]
  43. Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
    Characterising the difference. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:765-774 [Conf]

  44. Compressing tags to find interesting media groups. [Citation Graph (, )][DBLP]

  45. 07181 Abstracts Collection -- Parallel Universes and Local Patterns . [Citation Graph (, )][DBLP]

  46. 07181 Introduction -- Parallel Universes and Local Patterns . [Citation Graph (, )][DBLP]

  47. Finding Composite Episodes. [Citation Graph (, )][DBLP]

  48. Preserving Privacy through Data Generation. [Citation Graph (, )][DBLP]

  49. Understanding Discrete Classifiers with a Case Study in Gene Prediction. [Citation Graph (, )][DBLP]

  50. Filling in the Blanks - Krimp Minimisation for Missing Data. [Citation Graph (, )][DBLP]

  51. Characteristic relational patterns. [Citation Graph (, )][DBLP]

  52. StreamKrimp: Detecting Change in Data Streams. [Citation Graph (, )][DBLP]

  53. Mining Databases to Mine Queries Faster. [Citation Graph (, )][DBLP]

  54. Identifying the Components. [Citation Graph (, )][DBLP]

  55. Discovering Relational Items Sets Efficiently. [Citation Graph (, )][DBLP]

  56. Low-Entropy Set Selection. [Citation Graph (, )][DBLP]

  57. Frequent Episode Mining to Support Pattern Analysis in Developmental Biology. [Citation Graph (, )][DBLP]

  58. Identifying the components. [Citation Graph (, )][DBLP]

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