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Jérémy Besson
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- affiliation: LIRS Lyon, France
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2010 – 2019
- 2015
- [j11]Antanas Mitasiunas, Jérémy Besson, Michael Boronowsky, Tanja Woronowicz:
Validation of InnoSPICE for Technology Transfer. Appl. Comput. Syst. 17(1): 12 (2015) - [j10]Jérémy Besson, Adomas Birstunas, Antanas Mitasiunas, Arunas Stockus:
SignaTM - Towards Electronic Document Cross-Border Interoperability. Appl. Comput. Syst. 17(1): 46 (2015) - [j9]Jérémy Besson, Antanas Mitasiunas, Saulius Ragaisis:
Export Process Capability Assessment Model. Appl. Comput. Syst. 17(1): 60 (2015) - 2014
- [c21]Jérémy Besson, Antanas Mitasiunas, Saulius Ragaisis:
Enterprise SPICE Export Extension. SPICE 2014: 279-282 - 2013
- [j8]Loïc Cerf, Jérémy Besson, Kim-Ngan Nguyen, Jean-François Boulicaut:
Closed and noise-tolerant patterns in n-ary relations. Data Min. Knowl. Discov. 26(3): 574-619 (2013) - 2012
- [j7]Jérémy Besson, Audrone Lupeikiene, Viktor Medvedev:
Comparing Real and Intended System Usages: A Case for Web Portal. Informatica 23(2): 191-201 (2012) - [c20]Tanja Woronowicz, Jérémy Besson, Michael Boronowsky, David Wewetzer:
Application of the ISO/IEC 15504 Standard Based Model - innoSPICE. EuroSPI 2012: 73-84 - [c19]Jérémy Besson, Tanja Woronowicz, Antanas Mitasiunas, Michael Boronowsky:
Innovation, Knowledge- and Technology Transfer Process Capability Model - innoSPICETM. SPICE 2012: 75-84 - 2010
- [j6]Jérémy Besson, Albertas Caplinskas:
QOS-Aware Composition of Enterprise System's Components: Constraint Logic Programming Approach. Informatica 21(4): 487-504 (2010) - [c18]Jérémy Besson, Ieva Mitasiunaite, Audrone Lupeikiene, Jean-François Boulicaut:
Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining. BIS 2010: 83-93 - [p2]Jérémy Besson, Jean-François Boulicaut, Tias Guns
, Siegfried Nijssen:
Generalizing Itemset Mining in a Constraint Programming Setting. Inductive Databases and Constraint-Based Data Mining 2010: 107-126 - [p1]Christophe Rigotti, Ieva Mitasiunaite, Jérémy Besson, Laurène Meyniel, Jean-François Boulicaut, Olivier Gandrillon:
Using a Solver Over the String Pattern Domain to Analyze Gene Promoter Sequences. Inductive Databases and Constraint-Based Data Mining 2010: 407-423
2000 – 2009
- 2009
- [j5]Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Closed patterns meet n-ary relations. ACM Trans. Knowl. Discov. Data 3(1): 3:1-3:36 (2009) - [c17]Loïc Cerf, Jérémy Besson, Jean-François Boulicaut:
Extraction de motifs fermés dans des relations n-aires bruitées. EGC 2009: 163-168 - 2008
- [j4]Johan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime
SQUAT: A web tool to mine human, murine and avian SAGE data. BMC Bioinform. 9 (2008) - [j3]Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, Mohammed J. Zaki
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Stat. Anal. Data Min. 1(2): 67-84 (2008) - [c16]Jérémy Besson, Christophe Rigotti, Ieva Mitasiunaite, Jean-François Boulicaut:
Parameter Tuning for Differential Mining of String Patterns. ICDM Workshops 2008: 77-86 - [c15]Jean-François Boulicaut, Jérémy Besson:
Actionability and Formal Concepts: A Data Mining Perspective. ICFCA 2008: 14-31 - [c14]Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. SDM 2008: 37-48 - 2007
- [j2]Sylvain Blachon, Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Olivier Gandrillon:
Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. Silico Biol. 7(4-5): 467-483 (2007) - [c13]Mohammad Al Hasan, Vineet Chaoji
ORIGAMI: Mining Representative Orthogonal Graph Patterns. ICDM 2007: 153-162 - [c12]Jérémy Besson, Céline Robardet:
A New Way to Aggregate Preferences: Application to Eurovision Song Contests. IDA 2007: 152-162 - 2006
- [c11]Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. ICCS 2006: 144-157 - [c10]Jérémy Besson, Céline Robardet, Luc De Raedt
Mining Bi-sets in Numerical Data. KDID 2006: 11-23 - 2005
- [j1]Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome:
Constraint-based concept mining and its application to microarray data analysis. Intell. Data Anal. 9(1): 59-82 (2005) - [c9]Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. CAP 2005: 313-328 - [c8]Jérémy Besson, Ruggero G. Pensa
Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. KDID 2005: 55-71 - 2004
- [c7]Ruggero G. Pensa
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. Constraint-Based Mining and Inductive Databases 2004: 328-347 - [c6]Ruggero G. Pensa
A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data. Discovery Science 2004: 230-241 - [c5]Ruggero G. Pensa, Claire Leschi, Jérémy Besson, Jean-François Boulicaut:
Assessment of discretization techniques for relevant pattern discovery from gene expression data. BIOKDD 2004: 24-30 - [c4]Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. KDID 2004: 33-45 - [c3]Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Constraint-Based Mining of Formal Concepts in Transactional Data. PAKDD 2004: 615-624 - [c2]Céline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut:
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. PaRMa 2004 - 2003
- [c1]François Rioult, Jean-François Boulicaut, Bruno Crémilleux, Jérémy Besson:
Using transposition for pattern discovery from microarray data. DMKD 2003: 73-79
Coauthor Index
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