The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.027secs, Finished in 0.031secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002