Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jean-Francois Boulicaut"'
Publikováno v:
Constrained Clustering: Advances in Algorithms
S. Basu et al. Constrained Clustering: Advances in Algorithms, Chapman & Hall/CRC Press, pp.123-148, 2008
Constrained Clustering: Advances in Algorithms, Theory, and Applications, edited by S. Basu, I. Davidson and K. Wagstaff, pp. 123–148. Boca Raton, Florida: CRC press, Taylor and Francis Group, 2008
info:cnr-pdr/source/autori:Pensa R.G.; Robardet C.; Boulicaut J.F./titolo:Constraint-driven co-clustering of 0%2F1 data/titolo_volume:Constrained Clustering: Advances in Algorithms, Theory, and Applications/curatori_volume:S. Basu, I. Davidson and K. Wagstaff/editore: /anno:2008
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ISBN: 9781584889960
S. Basu et al. Constrained Clustering: Advances in Algorithms, Chapman & Hall/CRC Press, pp.123-148, 2008
Constrained Clustering: Advances in Algorithms, Theory, and Applications, edited by S. Basu, I. Davidson and K. Wagstaff, pp. 123–148. Boca Raton, Florida: CRC press, Taylor and Francis Group, 2008
info:cnr-pdr/source/autori:Pensa R.G.; Robardet C.; Boulicaut J.F./titolo:Constraint-driven co-clustering of 0%2F1 data/titolo_volume:Constrained Clustering: Advances in Algorithms, Theory, and Applications/curatori_volume:S. Basu, I. Davidson and K. Wagstaff/editore: /anno:2008
Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ISBN: 9781584889960
We investigate a co-clustering framework (i.e., a method that provides a partition of objects and a linked partition of features) for binary data sets. So far, constrained co-clustering has been seldomly explored. First, we consider straightforward e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45817dda683d5f310f3f6accdee6d3b
https://hal.archives-ouvertes.fr/hal-01501910
https://hal.archives-ouvertes.fr/hal-01501910
Publikováno v:
2nd IEEE International Conference on Digital Information Management 2007 (IEEE ICDIM’07)
2nd IEEE International Conference on Digital Information Management 2007 (IEEE ICDIM’07), Oct 2007, Lyon, France
Proceedings of the 2nd International Conference on Digital Information Management ICDIM'07
2nd International Conference on Digital Information Management ICDIM'07
2nd International Conference on Digital Information Management ICDIM'07, Oct 2007, Lyon, France. pp.291--296
ICDIM
HAL
2nd IEEE International Conference on Digital Information Management 2007 (IEEE ICDIM’07), Oct 2007, Lyon, France
Proceedings of the 2nd International Conference on Digital Information Management ICDIM'07
2nd International Conference on Digital Information Management ICDIM'07
2nd International Conference on Digital Information Management ICDIM'07, Oct 2007, Lyon, France. pp.291--296
ICDIM
HAL
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g.. association rules) that hold within labeled data have been considered. In this paper, we propose a novel associative classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46fa4dc67252ddcfbfcba7b9d01faeb0
https://hal.archives-ouvertes.fr/hal-03386867
https://hal.archives-ouvertes.fr/hal-03386867
Autor:
Céline, Becquet, Sylvain, Blachon, Baptiste, Jeudy, Jean-Francois, Boulicaut, Olivier, Gandrillon
Publikováno v:
Genome Biology
The association-rules discovery (ARD) technique has yet to be applied to gene-expression data analysis. To validate the technique it was applied to freely available human serial analysis of gene expression (SAGE) data. ARD is shown to be complementar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2169e7860f3fa5edd916cb28c13583ea
https://pubmed.ncbi.nlm.nih.gov/12537556
https://pubmed.ncbi.nlm.nih.gov/12537556
It is our pleasure to present the proceedings of Discovery Science 2008, the 11th International Conference on Discovery Science held in Budapest, Hungary, October 13-16, 2008. It was co-located with ALT 2008, the 19th International Conference on Algo
The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Pra
The interconnected ideas of inductive databases and constraint-based mining are appealing and have the potential to radically change the theory and practice of data mining and knowledge discovery. This book reports on the results of the European IST
Introduction The dramatic increase in available computer storage capacity over the last 10 years has led to the creation of very large databases of scienti?c and commercial information. The need to analyze these masses of data has led to the evolutio
This book constitutes the refereed proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, held in Pisa, Italy, in September 2004 jointly with ECML 2004. The 39 revised full papers and 9 r
The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined, volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Kn