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ORCIDBart Goethals
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Publications
- 2023
[e10]Toon Calders
, Celine Vens, Jefrey Lijffijt, Bart Goethals:
Artificial Intelligence and Machine Learning - 34th Joint Benelux Conference, BNAIC/Benelearn 2022, Mechelen, Belgium, November 7-9, 2022, Revised Selected Papers. Communications in Computer and Information Science 1805, Springer 2023, ISBN 978-3-031-39143-9 [contents]- 2014
- [j17]Toon Calders, Nele Dexters, Joris J. M. Gillis, Bart Goethals:
Mining frequent itemsets in a stream. Inf. Syst. 39: 233-255 (2014) - 2012
- [j14]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
An inductive database system based on virtual mining views. Data Min. Knowl. Discov. 24(1): 247-287 (2012) - 2010
- [c34]Toon Calders, Calin Garboni, Bart Goethals:
Approximation of Frequentness Probability of Itemsets in Uncertain Data. ICDM 2010: 749-754 - [c31]Toon Calders, Calin Garboni, Bart Goethals:
Efficient Pattern Mining of Uncertain Data with Sampling. PAKDD (1) 2010: 480-487 - [p4]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining 2010: 59-77 - [p3]Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet:
Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining 2010: 265-287 - 2008
- [j7]Toon Calders, Nele Dexters, Bart Goethals:
Mining frequent items in a stream using flexible windows. Intell. Data Anal. 12(3): 293-304 (2008) - [c27]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado:
Mining Views: Database Views for Data Mining. ICDE 2008: 1608-1611 - [c25]Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064 - 2007
- [j5]Toon Calders, Bart Goethals:
Non-derivable itemset mining. Data Min. Knowl. Discov. 14(1): 171-206 (2007) - [j4]Toon Calders, Nele Dexters, Bart Goethals:
A new support measure for items in streams. Monde des Util. Anal. Données 36: 37-41 (2007) - [c22]Toon Calders, Nele Dexters, Bart Goethals:
Mining Frequent Itemsets in a Stream. ICDM 2007: 83-92 - [c21]Toon Calders, Bart Goethals, Michael Mampaey:
Mining itemsets in the presence of missing values. SAC 2007: 404-408 - 2006
- [c20]Toon Calders, Bart Goethals, Szymon Jaroszewicz:
Mining rank-correlated sets of numerical attributes. KDD 2006: 96-105 - [c19]Toon Calders, Bart Goethals, Adriana Prado:
Integrating Pattern Mining in Relational Databases. PKDD 2006: 454-461 - 2005
- [c16]Toon Calders, Bart Goethals:
Quick Inclusion-Exclusion. KDID 2005: 86-103 - [c14]Toon Calders, Bart Goethals:
Depth-First Non-Derivable Itemset Mining. SDM 2005: 250-261 - 2003
- [c7]Toon Calders, Bart Goethals:
Minimal k-Free Representations of Frequent Sets. PKDD 2003: 71-82 - 2002
- [c5]Toon Calders, Bart Goethals:
Mining All Non-derivable Frequent Itemsets. PKDD 2002: 74-85 - [i5]Toon Calders, Bart Goethals:
Mining All Non-Derivable Frequent Itemsets. CoRR cs.DB/0206004 (2002)
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