, , p.154
I. Notions de base: polyphonie et stratégie discursive, Opérateurs discursifs du français ,
Défis et conditions de l?accompagnement de la sortie de la rue, Partie 3 ? Accompagnement socioclinique des jeunes de la rue ou en institution, issue.70, pp.171-187, 2014. ,
156 7.2.2 Algorithme de construction d'un trie d'occurrences de motifs ,
Détermination du tirage de la charrue - II La mesure et la prévision du tirage de la charrue pour deux formes de versoir dans trois types de sol., Journal of Terramechanics, vol.19, issue.3, p.211, 1982. ,
Vers une méthode pour la complexité en bioéthique, Bioéthique, pp.133-147, 2011. ,
171 7.5.1 Coût de stockage en mémoire du trie d'occurrences de motifs ,
Conclusion 179, Language of Migration ,
Liste des tableaux. Liste des cartes. Liste des photographies, Alena-Mercosur : enjeux et limites de l'intégration américaine, p.225 ,
Graphique S.2b Coût minimum de la maind'oeuvre pour les titulaires du salaire minimum employés à plein temps, en % du coût de la main-d'oeuvre d'un salarié moyen ,
, Figure I.2.5 Temps consacré à l?enseignement et à l?apprentissage, en fonction des caractéristiques de l?enseignant et de l'établissement, p.148
162 7.2 Rangs des occurrences de motifs du trie de la figure 7.4 de norme 2, p.166 ,
Temps de prétraitement en seconde des méthodes suivant les mesures (A=Area, D=Decay, F=Freq) et la contrainte de norme maximale, p.175 ,
, Évolution de l?emploi entre 2010 et 2016, ou dernière année pour laquelle des données sont disponibles, Les jeux de données bms et sign sont disponibles sur, 2019.
Formalisation mathématique des notions géographiques de base : de l'espace - temps matière au géosystème, Cybergeo, p.155, 1999. ,
156 7.2.2 Algorithme de construction d'un trie d'occurrences de motifs, p.162 ,
, Détermination du tirage de la charrue - II La mesure et la prévision du tirage de la charrue pour deux formes de versoir dans trois types de sol., Journal of Terramechanics, vol.19, issue.3, p.211, 1982.
Vers une méthode pour la complexité en bioéthique, Bioéthique, pp.133-147, 2011. ,
171 7.5.1 Coût de stockage en mémoire du trie d'occurrences de motifs ,
,
, Seconde lettre d'un ami à Dantzig à un ami à Amsterdam [...] ou` l'on montre que la prétendue
Découverte des Connaissances dans les Bases de Données: Une approche centrée objet, Revue d'Information Scientifique et Technique, vol.11, issue.2, pp.21-32, 2001. ,
Sequential Pattern Sampling with Norm Constraints, 2018 IEEE International Conference on Data Mining (ICDM), 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01889230
Echantillonnage de motifs ensemblistes selon une utilité fondée sur la taille, ConféreNce sur la Recherche en Informatique et ses Applications, CNRIA'2019, pp.104-115, 2020. ,
Un des meilleurs papiers pour soumission d'une version étendue au journal KAIS, 2014. ,
Frequent Pattern Mining Algorithms: A Survey, Frequent Pattern Mining, pp.19-64, 2014. ,
, Mining association rules between sets of items in large databases, Proceedings of the, 1993.
, Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93, ACM SIGMOD International Conference on Management of Data, SIGMOD '93, pp.207-216, 1993.
Fast algorithms for mining association rules in large databases, Proceedings of the 20th International Conference on Very Large Data Bases, VLDB '94, pp.487-499, 1994. ,
Mining sequential patterns, Proc. of ICDE 95, pp.3-14, 1995. ,
Assessment of the accuracy of geonames gazetteer data, éditeurs : Proceedings of the 7th Workshop on Geographic Information Retrieval, pp.74-81, 2013. ,
Output space sampling for graph patterns, Proc. of the VLDB Endowment, vol.2, pp.730-741, 2009. ,
The Semantic Web, éditeurs : The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, vol.12, pp.722-735, 2007. ,
, , 2016.
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data, 2016 IEEE 16th International Conference on Data Mining (ICDM), pp.21-30, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01430622
Interactive knowledge discovery from hidden data through sampling of frequent patterns. Statistical Analysis and Data Mining, The ASA Data Science Journal, vol.9, issue.4, pp.205-229, 2016. ,
Interactive pattern mining on hidden data, Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12, pp.95-104, 2012. ,
Trie: An alternative data structure for data mining algorithms, Mathematical and Computer Modelling, vol.38, issue.7-9, pp.739-751, 2003. ,
Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining, Proceedings of the 2010 SIAM International Conference on Data Mining, pp.177-188, 2010. ,
Direct local pattern sampling by efficient two-step random procedures, Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11, pp.582-590, 2011. ,
Linear space direct pattern sampling using coupling from the past, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12, pp.443-452, 2012. ,
A Survey on Condensed Representations for Frequent Sets, Constraint-Based Mining and Inductive Databases, pp.64-80, 2006. ,
URL : https://hal.archives-ouvertes.fr/hal-01613469
Balancing Scalability and Uniformity in SAT Witness Generator, Proceedings of the The 51st Annual Design Automation Conference on Design Automation Conference - DAC '14, 2014. ,
Efficient mining of association rules in distributed databases, IEEE Transactions on Knowledge and Data Engineering, vol.8, issue.6, pp.911-922, 1996. ,
Substructure Discovery Using Minimum Description Length and Background Knowledge, Journal of Artificial Intelligence Research, vol.1, issue.1, pp.231-255, 1994. ,
How Your Supporters and Opponents Define Your Interestingness, Machine Learning and Knowledge Discovery in Databases, pp.373-389, 2019. ,
A new constraint for mining sets in sequences, Empty, vol.1, pp.317-328, 2009. ,
Statistical comparisons of classifiers over multiple data sets, J. Mach. Learn. Res, vol.7, pp.1-30, 2006. ,
Sequential Pattern Sampling with Norm Constraints, 2018 IEEE International Conference on Data Mining (ICDM), 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01889230
Récompenses et gestion des connaissances, des liens complexes !, La Revue des Sciences de Gestion, Direction et Gestion, vol.34, issue.226-227, pp.165-171, 2007. ,
Sequential Pattern Sampling with Norm Constraints, 2018 IEEE International Conference on Data Mining (ICDM), pp.89-94, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01889230
Connaissances, attitudes et pratiques des mères ou gardiennes d?enfants sur la chimioprévention du paludisme saisonnier, Médecine et Maladies Infectieuses, vol.47, issue.4, p.S97, 2017. ,
Sequential Pattern Sampling with Norm Constraints, 2018 IEEE International Conference on Data Mining (ICDM), 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01889230
, Recherche des motifs sur lesquels est fondée la conduite de la Grande-Bretagne., Confé-reNce sur la Recherche en Informatique et ses Applications, CNRIA'2019, pp.104-115
Sequential pattern sampling with norm-based utility, Knowledge and Information Systems, vol.62, issue.5, pp.2029-2065, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02379977
Sequential Pattern Sampling with Norm Constraints, 2018 IEEE International Conference on Data Mining (ICDM), 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01889230
Connaissances, attitudes et pratiques des mères ou gardiennes d?enfants sur la chimioprévention du paludisme saisonnier, Médecine et Maladies Infectieuses, vol.47, issue.4, p.S97, 2017. ,
Pattern Sampling in Distributed Databases, Advances in Databases and Information Systems, pp.60-74, 2020. ,
Interactive Learning of Pattern Rankings, International Journal on Artificial Intelligence Tools, vol.23, issue.06, p.1460026, 2014. ,
Flexible constrained sampling with guarantees for pattern mining, Data Mining and Knowledge Discovery, vol.31, issue.5, pp.1266-1293, 2017. ,
A user parameter-free approach for mining robust sequential classification rules, Knowledge and Information Systems, vol.52, issue.1, pp.53-81, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01816470
On measuring similarity for sequences of itemsets, Data Mining and Knowledge Discovery, vol.29, issue.3, pp.1-19, 2015. ,
TKS: Efficient Mining of Top-K Sequential Patterns, Advanced Data Mining and Applications, pp.109-120, 2013. ,
Anytime algorithm for frequent pattern outlier detection, International Conference on Advanced Data Mining and Applications, vol.15, pp.119-130, 2013. ,
Dense Neighborhood Pattern Sampling in Numerical Data, Proceedings of the 2018 SIAM International Conference on Data Mining, pp.756-764, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01889220
, Accelerating itemset sampling using satisfiability constraints on FPGA, IEEE/ACM Design, Automation and Test in Europe (DATE), 2019.
, Key roles of closed sets and minimal generators in concise representations of frequent patterns, Data Mining and Knowledge Discovery, vol.175, issue.4, pp.55-86, 2007.
Mining frequent patterns without candidate generation, ACM SIGMOD Record, vol.29, issue.2, pp.1-12, 2000. ,
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach, Data Mining and Knowledge Discovery, vol.8, issue.1, pp.53-87, 2004. ,
, Mining top-k frequent closed patterns without minimum support, 2002 IEEE International Conference on Data Mining, pp.211-218, 2002.
An aprioribased algorithm for mining frequent substructures from graph data, éditeurs : Principles of Data Mining and Knowledge Discovery, vol.2, pp.13-23, 1980. ,
Systematic approach for optimizing complex mining tasks on multiple databases, 22nd International Conference on Data Engineering (ICDE'06), pp.17-17, 2006. ,
, Combining csp and constraint-based mining for pattern discovery, the Art of Computer Programming, pp.432-447, 1968.
Sequential pattern mining in multi-databases via multiple alignment, Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, vol.71, pp.151-180, 2006. ,
Sampling minimal frequent boolean (DNF) patterns, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pp.87-95, 2001. ,
Levelwise search and borders of theories in knowledge discovery, Data mining and knowledge discovery, vol.1, issue.3, pp.241-258, 1997. ,
Instant exceptional model mining using weighted controlled pattern sampling, Proc. of IDEA Workshop, pp.79-86, 2013. ,
, Mining frequent itemsets in distributed and dynamic databases, Data Mining, 2003. ICDM 2003. Third IEEE International Conference on, pp.617-620, 2003.
Principles of Distributed Database Systems, Third Edition, 2011. ,
An Approach for Analyzing Infrequent Software Faults Based on Outlier Detection, 2009 International Conference on Artificial Intelligence and Computational Intelligence, vol.04, pp.302-306, 2009. ,
Mining for strong negative associations in a large database of customer transactions, Proceedings 14th International Conference on Data Engineering, pp.432-444 ,
Un cadre générique de découverte de motifs sous contraintes fondées sur des primitives, 2006. ,
Two Decades of Pattern Mining: Principles and Methods, Business Intelligence, pp.59-78, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01624606
Mining Dominant Patterns in the Sky, 2011 IEEE 11th International Conference on Data Mining, pp.655-664, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00623566
Mining sequential patterns: Generalizations and performance improvements, Advances in Database Technology ? EDBT '96, pp.1-17, 1996. ,
Yago, Proceedings of the 16th international conference on World Wide Web - WWW '07, pp.697-706, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-01589462
Fast Detecting Outliers over Online Data Streams, 2009 International Conference on Information Engineering and Computer Science, pp.1-4, 2009. ,
Sampling large databases for association rules, Proc. of VLDB 96, vol.96, pp.134-145, 1996. ,
An Algorithm for Subgraph Isomorphism, Journal of the ACM, vol.23, issue.1, pp.31-42, 1976. ,
Interactive Data Exploration Using Pattern Mining, Commun. ACM, vol.57, issue.10, pp.78-85, 2014. ,
gSpan: graph-based substructure pattern mining, 2002 IEEE International Conference on Data Mining, 2002. Proceedings., pp.721-724 ,
A unified framework for utility based measures for mining itemsets, Empty, 2006. ,
New algorithms for fast discovery of association rules, Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, KDD'97, pp.283-286, 1997. ,
Parallel Algorithms for Discovery of Association Rules, Scalable High Performance Computing for Knowledge Discovery and Data Mining, vol.1, pp.5-35, 1997. ,
Mining Multiple Data Sources: Local Pattern Analysis, Data Mining and Knowledge Discovery, vol.12, issue.2-3, pp.121-125, 2006. ,
An Improved Method of Outlier Detection Based on Frequent Pattern, 2010 WASE International Conference on Information Engineering, vol.02, pp.3-6, 2010. ,
CLAP: Collaborative pattern mining for distributed information systems, Decision Support Systems, vol.52, issue.1, pp.40-51, 2011. ,
Discovering Relational Patterns across Multiple Databases, 2007 IEEE 23rd International Conference on Data Engineering, pp.726-735, 2007. ,