Efficient algorithms for mining closed itemsets and their lattice structure
By Mohammed J. Zaki, Ching-Jui Hsiao. IEEE Transactions on Knowledge and Data Engineering, 2005
667 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/a1e94c0fb725ec9f015ca69e6061010a603b45e1
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
- Mehdi Kaytoue-Uberall
- Raghav Bhaskar
- Srivatsan Laxman
- Jean-François Boulicaut
- Olivier Cavadenti
- Víctor Codocedo
- Abhradeep Thakurta
- Adam D. Smith
In Information Systems
- Abhradeep Thakurta
- Mehdi Kaytoue-Uberall
- Raghav Bhaskar
- Srivatsan Laxman
- Jean-François Boulicaut
- Olivier Cavadenti
- Víctor Codocedo
- Adam D. Smith
In Signal Processing
- Alberto Domingo Pascual-Montano
- Mehdi Kaytoue-Uberall
- Srivatsan Laxman
- Jean-François Boulicaut
- J. M. Carazo
- Olivier Cavadenti
- Víctor Codocedo
- Abhradeep Thakurta
Citations in the corpus
- What Did I Do Wrong in My MOBA Game? Mining Patterns Discriminating Deviant Behaviours (2016, positive): “Code was written in JAVA using the CHARM implementation from the SPMF framework [21].”
- Discovering frequent patterns in sensitive data (2010, background): “see [16, 13, 26, 23]) that deals with FIM and its variants in transactional data sets.”
- GeneCodis: interpreting gene lists through enrichment analysis and integration of diverse biological information (2009, methodology): “There is a new implementation of the method to extract closed itemsets based on a modification of previously reported efficient techniques (16).”