Due to copyright concerns, most of my papers are not available online.
However, if you are interested by one of them, feel free to email
me, I
will send you a draft version and some slides.
International conferences with reviewing committee
Summarizing Contrasts by Recursive Pattern Mining.
A. Soulet, B. Cremilleux, M. Plantevit.
Dans International Workshop on Contrast Data Mining and Applications at IEEE International Conference on Data Mining.,
Guozhu Dong, James Bailey ed.
Vancouver, Canada.
pp. 1155-1162.IEEE
.
2011.
Mining Dominant Patterns in the Sky.
A. Soulet, C. Raïssi, M. Plantevit, B. Cremilleux.
Dans The 11th IEEE International Conference on Data Mining - ICDM 2011,
Vancouver, B.C: CANADA.
pp. 655-664.2011.
(à paraître)
Motifs séquentiels δ-libres.
M. Plantevit, C. Raïssi, B. Cremilleux.
Dans 11ème Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC),
Brest.
pp. 35-46.2011.
Sequential Patterns to Discover and Characterise Biological Relations.
P. Cellier, T. Charnois, M. Plantevit.
Dans 11th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING'2010),
Iaşi, Roumania .
pp. 537-548.Lecture Notes in Computer Science6008.
Springer-Verlag
.
ISBN 978-3-642-12115-9.2010.
International conferences with reviewing committee
Condensed Representation of Sequential Patterns According to Frequency-Based Measures.
M. Plantevit, B. Cremilleux.
Dans Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009,
Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut ed.
Lyon, France.
pp. 155-166.Lecture Notes in Computer Science5772.
Springer
.
ISBN 978-3-642-03914-0.ISSN 0302-9743.2009.
International conferences with reviewing committee
Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies.
M. Plantevit, A. Laurent, M. Teisseire.
Dans Data Warehousing and Knowledge Discovery, 10th International Conference, DaWaK 2008,
Il-Yeol Song, Johann Eder, Tho Manh Nguyen ed.
Turin, Italy.
pp. 156-165.Lecture Notes in Computer Science5182.
Springer Berlin / Heidelberg
.
ISBN 978-3-540-85835-5.2008.
Mining Multidimensional Sequential Patterns over Data Streams.
M. Plantevit, C. Raïssi.
Dans Data Warehousing and Knowledge Discovery, 10th International Conference, DaWaK 2008,
Il-Yeol Song, Johann Eder, Tho Manh Nguyen ed.
Turin, Italy.
pp. 263-272.Lecture Notes in Computer Science5182.
Springer
.
ISBN 978-3-540-85835-5.2008.
National conferences with reviewing committee
Fenêtres sur Cube.
Y. Pitarch, A. Laurent, M. Plantevit, P. Poncelet.
Dans Journées des Bases de Données Avancées (BDA'08),
Guilherand-Granges, France.
pp. 1-20.2008.
International conferences with reviewing committee
Mining unexpected multidimensional rules.
M. Plantevit, S. Goutier, F. Guisnel, A. Laurent, M. Teisseire.
Dans ACM tenth international workshop on Data warehousing and OLAP (DOLAPO7),
Lisbon, Portugal.
pp. 89-96.ACM
.
ISBN 978-1-59593-827-5.2007.
International conferences with reviewing committee
M2SP: Mining Sequential Patterns Among Several Dimensions.
M. Plantevit, Y.W. Choong, A. Laurent, D. Laurent, M. Teisseire.
Dans PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases,
Porto.
pp. 205-216.Lecture Notes in Computer Science3721.
Springer
.
ISBN 3-540-29244-6.2005.
M. Plantevit. Mining Sequential Patterns in Large Databases.
Prague, Czech Republic. Project Barrande 17379 «Fusion de données
hétérogènes pour la découverte de connaissances en génomique». October
2008.
M. Plantevit. Mining Multidimensional Sequential Patterns: From
Frequent To Unexpected Patterns. Project Stic Asia EXPEDO. Kuala
Lumpur, Malaysia. February 2008.
M. Plantevit. Extraction de Séquences Outliers dans des
Cubes de Données. Business Intelligence Lab. ENST, Paris, France.
January 2008.
M. Plantevit. Multidimensional Sequential Patterns: From
Multidimensionality to Hierarchy Management. project STIC ASIA
EXPEDO, avril 2007, Bali (Indonesia).
M. Plantevit. Motifs Séquentiels Multidimensionnels. GDR I3
- Groupe 3.4 - "Fouille de Données" (GDR I3), Paris, May 2005.