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Conferences in DBLP

International Workshop on Knowledge Discovery in Inductive Databases (KDID) (kdid)
2005 (conf/kdid/2005)

  1. Arno Siebes
    Data Mining in Inductive Databases. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:1-23 [Conf]
  2. Carlo Zaniolo
    Mining Databases and Data Streams with Query Languages and Rules. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:24-37 [Conf]
  3. Maurizio Atzori, Paolo Mancarella, Franco Turini
    Memory-Aware Frequent k-Itemset Mining. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:38-54 [Conf]
  4. Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
    Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:55-71 [Conf]
  5. Hendrik Blockeel
    Experiment Databases: A Novel Methodology for Experimental Research. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:72-85 [Conf]
  6. Toon Calders, Bart Goethals
    Quick Inclusion-Exclusion. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:86-103 [Conf]
  7. Tao-Yuan Jen, Dominique Laurent, Nicolas Spyratos, Oumar Sy
    Towards Mining Frequent Queries in Star Schemes. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:104-123 [Conf]
  8. Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter
    Inductive Databases in the Relational Model: The Data as the Bridge. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:124-138 [Conf]
  9. Taneli Mielikäinen
    Transaction Databases, Frequent Itemsets, and Their Condensed Representations. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:139-164 [Conf]
  10. Siegfried Nijssen, Joost N. Kok
    Multi-class Correlated Pattern Mining. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:165-187 [Conf]
  11. Csaba István Sidló, András Lukács
    Shaping SQL-Based Frequent Pattern Mining Algorithms. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:188-201 [Conf]
  12. Arnaud Soulet, Bruno Crémilleux
    Exploiting Virtual Patterns for Automatically Pruning the Search Space. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:202-221 [Conf]
  13. Jan Struyf, Saso Dzeroski
    Constraint Based Induction of Multi-objective Regression Trees. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:222-233 [Conf]
  14. Bernard Zenko, Saso Dzeroski, Jan Struyf
    Learning Predictive Clustering Rules. [Citation Graph (0, 0)][DBLP]
    KDID, 2005, pp:234-250 [Conf]
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