Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
By Jean-François Boulicaut, Artur Bykowski, Christophe Rigotti. Data mining and knowledge discovery, 2004
323 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/4f27d1013aeaabf86015a53a46a93b6de3276c04
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Siegfried Nijssen
- Baptiste Jeudy
- Élisa Fromont
- Jean-François Boulicaut
- John F. Roddick
- Bart Goethals
- Aaron Ceglar
- Peter James Stuckey
In Information Systems
- Siegfried Nijssen
- Baptiste Jeudy
- Élisa Fromont
- Jean-François Boulicaut
- John F. Roddick
- Bart Goethals
- Aaron Ceglar
- Peter James Stuckey
In Signal Processing
- Baptiste Jeudy
- Élisa Fromont
- Jean-François Boulicaut
- Siegfried Nijssen
- John F. Roddick
- Bart Goethals
- Aaron Ceglar
- Mohammed J. Zaki
Citations in the corpus
- Optimal constraint-based decision tree induction from itemset lattices (2010, background): “Well-known exact condensed representations are the closed itemsets (Pasquier et al. 1999) and free itemsets (Boulicaut et al. 2000).”
- Association mining (2006, background): “…Counting Inference MinEx Boulicant et al. 2001 A priori d-free sets HLinEx Bykowski & Rigotti 2001 A priori Disjunction free sets VLinEx Bykowski & Rigotti 2001 Depth Project Disjunction free sets CHARM Zaki & Hsiao 2002 Eclat Closed Set NDI Calders & Goethals 2002 Apriori…”
- Mining optimal decision trees from itemset lattices (2007, background): “Algorithmically, the tree-relevancy constraint is closely related to the condensed representation of δ-free itemsets [5].”
- Survey on Frequent Pattern Mining (2003, background): “transaction database such that, if necessary, the support of a frequent itemset not in that representation can be efficiently computed or estimated without accessing the database [24, 31, 12, 14, 15].”
- Constraint-based Data Mining (2005, methodology): “Interestingly, an algorithm like AcMiner (Boulicaut et al ., 2000; Boulicaut et al ., 2003) which can compute frequent closed sets (closeness is not an anti-monotonic constraint) via the frequent free sets exploits these pruning possibilities.”