Florent Masseglia

110

Documents

Publications

	Life Science Workflow Services (LifeSWS): motivations and architecture Reza Akbarinia , Christophe Botella , Alexis Joly , Florent Masseglia , Marta Mattoso Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2023, 14280, pp.1-24. ⟨10.1007/978-3-662-68100-8_1⟩ Article dans une revue lirmm-04173545v1
	kNN matrix profile for knowledge discovery from time series Tanmoy Mondal , Reza Akbarinia , Florent Masseglia Data Mining and Knowledge Discovery, 2023, 37 (3), pp.1055-1089. ⟨10.1007/s10618-022-00883-8⟩ Article dans une revue lirmm-04225369v1
	BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series Databases Oleksandra Levchenko , Boyan Kolev , Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia Knowledge and Information Systems (KAIS), 2021, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩ Article dans une revue lirmm-02973633v2
	Massively Distributed Time Series Indexing and Querying Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Themis Palpanas IEEE Transactions on Knowledge and Data Engineering, 2020, 32 (1), pp.108-120. ⟨10.1109/TKDE.2018.2880215⟩ Article dans une revue lirmm-02197618v1
	Space Time Series Clustering: Algorithms, Taxonomy, and Case Study on Urban Smart Cities Asma Belhadi , Youcef Djenouri , Kjetil Nørvåg , Heri Ramampiaro , Florent Masseglia Engineering Applications of Artificial Intelligence, 2020, 95, pp.#103857. ⟨10.1016/j.engappai.2020.103857⟩ Article dans une revue lirmm-03036868v1
	A “big-data” algorithm for KNN-PLS Maxime Metz , Matthieu Lesnoff , Florent Abdelghafour , Reza Akbarinia , Florent Masseglia Chemometrics and Intelligent Laboratory Systems, 2020, 203, pp.104076. ⟨10.1016/j.chemolab.2020.104076⟩ Article dans une revue hal-02899789v1
	Spatial-Time Motifs Discovery Heraldo Borges , Murillo Dutra , Amin Bazaz , Rafaelli Coutinho , Fábio Perosi Intelligent Data Analysis, 2020, 24 (5), pp.1121-1140. ⟨10.3233/IDA-194759⟩ Article dans une revue lirmm-02984969v1
	Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s Corinne Atlan , Jean-Pierre Archambault , Olivier Banus , Frédéric Bardeau , Amélie Blandeau Revue de l'EPI (Enseignement Public et Informatique), 2019 Article dans une revue hal-02145478v1
	ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows Djamel-Edine Edine Yagoubi , Reza Akbarinia , Boyan Kolev , Oleksandra Levchenko , Florent Masseglia Data Mining and Knowledge Discovery, 2018, 32 (5), pp.1481-1507. ⟨10.1007/s10618-018-0580-z⟩ Article dans une revue lirmm-01886794v1
	A Highly Scalable Parallel Algorithm for Maximally Informative k-Itemset Mining Saber Salah , Reza Akbarinia , Florent Masseglia Knowledge and Information Systems (KAIS), 2017, 50 (1), pp.1-26. ⟨10.1007/s10115-016-0931-2⟩ Article dans une revue lirmm-01288571v1
	Data placement in massively distributed environments for fast parallel mining of frequent itemsets Saber Salah , Reza Akbarinia , Florent Masseglia Knowledge and Information Systems (KAIS), 2017, 53 (1), pp.207-237. ⟨10.1007/s10115-017-1041-5⟩ Article dans une revue lirmm-01620383v1
	Où se trouve la science informatique ? Maxime Amblard , Victoria Denys , Joanna Jongwane , Florent Masseglia Interstices, 2015 Article dans une revue hal-01352666v1
	The anti-bouncing data stream model for web usage streams with intralinkings Chongsheng Zhang , Florent Masseglia , Yves Lechevallier Information Sciences, 2014, 278, pp.757-772. ⟨10.1016/j.ins.2014.03.089⟩ Article dans une revue lirmm-01091868v1
	Autonomic Intrusion Detection: Adaptively Detecting Anomalies over Unlabeled Audit Data Streams in Computer Networks Wei Wang , Thomas Guyet , René Quiniou , Marie-Odile Cordier , Florent Masseglia Knowledge-Based Systems, 2014, 70, pp.103-117. ⟨10.1016/j.knosys.2014.06.018⟩ Article dans une revue hal-01052810v1
	Person of Interest : la surveillance des données individuelles pour anticiper les crimes Florent Masseglia Interstices, 2013 Article dans une revue hal-01350299v1
	Discovering Frequent Behaviors: Time is an Essential Element of the Context Bashar Saleh , Florent Masseglia Knowledge and Information Systems (KAIS), 2011, 28 (2), pp.311-331. ⟨10.1007/s10115-010-0361-5⟩ Article dans une revue hal-00640213v1
	Discovering Significant Evolution Patterns from Satelllite Image Time Series François Petitjean , Florent Masseglia , Pierre Gancarski , Germain Forestier International Journal of Neural Systems, 2011, 21 (6), pp.15. ⟨10.1142/S0129065711003024⟩ Article dans une revue lirmm-00639480v1
	Atypicity Detection in Data Streams: a Self-Adjusting Approach Alice Marascu , Florent Masseglia Intelligent Data Analysis, 2011, 15 (1), pp.89-105. ⟨10.3233/IDA-2010-0457⟩ Article dans une revue hal-00789034v1
	Idée reçue : Les premiers résultats de Google sont les meilleurs Florent Masseglia Interstices, 2010 Article dans une revue hal-01350222v1
	À propos de la fouille de données Florent Masseglia , Joanna Jongwane Interstices, 2010 Article dans une revue hal-01350298v1
	Efficient Mining of Sequential Patterns with Time Constraints: Reducing the Combinations Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire Expert Systems with Applications, 2009, 36 (2), pp.2677-2690. ⟨10.1016/j.eswa.2008.01.021⟩ Article dans une revue lirmm-00272632v1
	Web Usage Mining: Extracting Unexpected Periods from Web Logs Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu Data Mining and Knowledge Discovery, 2008, 16 (1), pp.039-065. ⟨10.1007/s10618-007-0080-z⟩ Article dans une revue lirmm-00204872v2
	Mining Sequential Patterns from Data Streams: a Centroid Approach Alice Marascu , Florent Masseglia Journal of Intelligent Information Systems, 2006, 27 (3), pp.291-307. ⟨10.1007/s10844-006-9954-6⟩ Article dans une revue inria-00461296v1
	Extraction de motifs séquentiels. Problèmes et méthodes Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2004, 9 (3/4), pp.183-210. ⟨10.3166/isi.9.3-4.183-210⟩ Article dans une revue lirmm-00108563v1
	HDM: A Client/Server/Engine Architecture for Real Time Web Usage Mining Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet Knowledge and Information Systems (KAIS), 2003, 5 (4), pp.439-465. ⟨10.1007/s10115-003-0097-6⟩ Article dans une revue lirmm-00191952v1
	Incremental Mining of Sequential Patterns in Large Databases Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire Data and Knowledge Engineering, 2003, 46 (1), pp.97-121. ⟨10.1016/S0169-023X(02)00209-4⟩ Article dans une revue lirmm-00269547v1

	Variable size segmentation for efficient representation and querying of non-uniform time series datasets Lamia Djebour , Reza Akbarinia , Florent Masseglia SAC 2022 - 37th ACM/SIGAPP Symposium on Applied Computing, Apr 2022, Virtual Event, United States. pp.395-402, ⟨10.1145/3477314.3507000⟩ Communication dans un congrès lirmm-03806053v1
	Parallel Techniques for Variable Size Segmentation of Time Series Datasets Lamia Djebour , Reza Akbarinia , Florent Masseglia ADBIS 2022 - 26th European Conference on Advances in Databases and Information Systems, Sep 2022, Turin, Italy. pp.148-162, ⟨10.1007/978-3-031-15740-0_12⟩ Communication dans un congrès lirmm-03805997v1
	ASAX : Segmentation adaptative basée sur la quantité d'information pour SAX Lamia Djebour , Reza Akbarinia , Florent Masseglia BDA 2021 - 37e Conférence sur la Gestion de Données - Principes, Technologies et Applications, Oct 2021, Paris, France Communication dans un congrès lirmm-03468535v1
	Massively Distributed Clustering via Dirichlet Process Mixture Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia , Isabelle Sanchez ECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent / Virtual, Belgium. ⟨10.1007/978-3-030-67670-4_34⟩ Communication dans un congrès lirmm-03036910v1
	High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia IEEE Big Data 2019 - IEEE International Conference on Big Data, Dec 2019, Los-Angeles, United States Communication dans un congrès lirmm-02364411v1
	Distributed Algorithms to Find Similar Time Series Oleksandra Levchenko , Boyan Kolev , Djamel-Edine Edine Yagoubi , Dennis Shasha , Themis Palpanas ECML-PKDD 2019 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2019, Wurtzbourg, Germany. pp.781-785, ⟨10.1007/978-3-030-46133-1_51⟩ Communication dans un congrès lirmm-02265726v1
	Dirichlet Process Mixture Models made Scalable and Effective by means of Massive Distribution Khadidja Meguelati , Bénédicte Fontez , Nadine Hilgert , Florent Masseglia SAC 2019 - 34th ACM/SIGAPP Symposium on Applied Computing, Apr 2019, Limassol, Cyprus. pp.502-509, ⟨10.1145/3297280.3297327⟩ Communication dans un congrès hal-01999453v1
	Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s Corinne Atlan , Jean-Pierre Archambault , Olivier Banus , Frédéric Bardeau , Amélie Blandeau EIAH Wokshop 2019 - Apprentissage de la pensée informatique de la maternelle à l’Université : retours d’expériences et passage à l’échelle, Jun 2019, Paris, France Communication dans un congrès hal-02145480v1
	Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities Boyan Kolev , Reza Akbarinia , Ricardo Jimenez-Peris , Oleksandra Levchenko , Florent Masseglia CLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.681-687, ⟨10.5220/0007843806810687⟩ Communication dans un congrès lirmm-02265729v1
	Discovering Tight Space-Time Sequences Riccardo Campisano , Heraldo Borges , Fábio Porto , Fabio Perosi , Esther Pacitti DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257, ⟨10.1007/978-3-319-98539-8_19⟩ Communication dans un congrès hal-01925965v1
	Maximally Informative k-Itemset Mining from Massively Distributed Data Streams Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia SAC: Symposium on Applied Computing, Apr 2018, Pau, France. pp.502-509, ⟨10.1145/3167132.3167187⟩ Communication dans un congrès hal-01711990v1
	A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources Mohamed Reda Bouadjenek , Esther Pacitti , Maximilien Servajean , Florent Masseglia , Amr Abbadi DBKDA: Advances in Databases, Knowledge, and Data Applications, May 2018, Nice, France Communication dans un congrès hal-01911684v1
	Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets Oleksandra Levchenko , Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Boyan Kolev CIKM 2018 - 27th ACM International Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩ Communication dans un congrès lirmm-01886760v1
	Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project Patrick Valduriez , Marta Mattoso , Reza Akbarinia , Heraldo Borges , José Camata LADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil Communication dans un congrès lirmm-01867804v1
	RadiusSketch: Massively Distributed Indexing of Time Series Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Dennis Shasha IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Oct 2017, Tokyo, Japan. pp.262-271, ⟨10.1109/DSAA.2017.49⟩ Communication dans un congrès lirmm-01620154v1
	Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia CAiSE: Advanced Information Systems Engineering, Jun 2017, Essen, Germany. pp.231-246, ⟨10.1007/978-3-319-59536-8_15⟩ Communication dans un congrès lirmm-01620238v1
	DPiSAX: Massively Distributed Partitioned iSAX Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Themis Palpanas ICDM 2017 - 17th IEEE International Conference on Data Mining, Nov 2017, New Orleans, LA, United States. pp.1135-1140, ⟨10.1109/ICDM.2017.151⟩ Communication dans un congrès lirmm-01620125v1
	Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. pp.1-15 Communication dans un congrès lirmm-01620354v1
	Mining Maximally Informative k-Itemsets in Massively Distributed Environments Saber Salah , Reza Akbarinia , Florent Masseglia BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France Communication dans un congrès lirmm-01411190v1
	A New Privacy-Preserving Solution for Clustering Massively Distributed Personal Times-Series Tristan Allard , Georges Hébrail , Florent Masseglia , Esther Pacitti ICDE: International Conference on Data Engineering, May 2016, Helsinki, Finland. pp.1370-1373, ⟨10.1109/ICDE.2016.7498347⟩ Communication dans un congrès lirmm-01270268v1
	Aggregation-Aware Compression of Probabilistic Streaming Time Series Reza Akbarinia , Florent Masseglia MLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.232-247, ⟨10.1007/978-3-319-21024-7_16⟩ Communication dans un congrès lirmm-01162366v1
	Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce Saber Salah , Reza Akbarinia , Florent Masseglia MLDM 2015 - 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, Jul 2015, Hamburg, Germany. pp.217-231, ⟨10.1007/978-3-319-21024-7_15⟩ Communication dans un congrès lirmm-01171555v1
	When sharing computer science with everyone also helps avoiding digital prejudices Marie Duflot , Martin Quinson , Florent Masseglia , Didier Roy , Julien Vaubourg SCRATCH, Aug 2015, Amsterdam, Netherlands Communication dans un congrès hal-01154767v1
	Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data Saber Salah , Reza Akbarinia , Florent Masseglia ICDM 2015 - 15th IEEE International Conference on Data Mining, Aug 2015, Atlantic City, NJ, United States. pp.359-368, ⟨10.1109/ICDM.2015.86⟩ Communication dans un congrès lirmm-01187275v1
	Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments Saber Salah , Reza Akbarinia , Florent Masseglia DEXA 2015 - 26th International Conference on Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.303-318, ⟨10.1007/978-3-319-22849-5_21⟩ Communication dans un congrès lirmm-01169603v1
	A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data Mehdi Zitouni , Reza Akbarinia , Sadok Ben Yahia , Florent Masseglia DEXA 2015 - 26th International Conference on Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.509-516, ⟨10.1007/978-3-319-22849-5_35⟩ Communication dans un congrès lirmm-01169606v1
	Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering Tristan Allard , Georges Hébrail , Florent Masseglia , Esther Pacitti SIGMOD: International Conference on Management of Data, May 2015, Melbourne, Australia. pp.779-794, ⟨10.1145/2723372.2749453⟩ Communication dans un congrès hal-01136686v1
	Compression de flux de données probabilistes attentive à l'agrégation Reza Akbarinia , Florent Masseglia BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France Communication dans un congrès lirmm-01091870v1
	A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications Enikö Székely , Pascal Poncelet , Florent Masseglia , Maguelonne Teisseire , Renaud Cezar DS: Discovery Science, Oct 2013, Singapore, Singapore. pp.249-264, ⟨10.1007/978-3-642-40897-7_17⟩ Communication dans un congrès lirmm-00907893v1
	Fast and Exact Mining of Probabilistic Data Streams Reza Akbarinia , Florent Masseglia ECML PKDD 2013 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. pp.493-508, ⟨10.1007/978-3-642-40988-2_32⟩ Communication dans un congrès lirmm-00838618v1
	Mining frequent itemsets over tuple-evolving data streams Chongsheng Zhang , Yuan Hao , Mirjana Mazuran , Carlo Zaniolo , Hamid Mousavi SAC: Symposium on Applied Computing, Mar 2013, Coimbra, Portugal. pp.267-274, ⟨10.1145/2480362.2480419⟩ Communication dans un congrès lirmm-00830923v1
	FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data Streams Reza Akbarinia , Florent Masseglia BDA 2012 - 28e journées Bases de Données Avancées, Oct 2012, Clermont-Ferrand, France Communication dans un congrès lirmm-00748605v1
	Modeling and Clustering Users with Evolving Profiles in Usage Streams Chongsheng Zhang , Florent Masseglia , Xiangliang Zhang TIME'2012: 19th International Symposium on Temporal Representation and Reasoning, Sep 2012, United Kingdom. pp.133-140 Communication dans un congrès lirmm-00753791v1
	Discovering Highly Informative Feature Set Over High Dimensions Chongsheng Zhang , Florent Masseglia , Xiangliang Zhang ICTAI: International Conference on Tools with Artificial Intelligence, Nov 2012, Athens, Greece. pp.1059-1064, ⟨10.1109/ICTAI.2012.149⟩ Communication dans un congrès lirmm-00753807v1
	Découverte de motifs d'évolution significatifs dans les séries temporelles d'images satellites François Petitjean , Florent Masseglia , Pierre Gancarski EGC: Extraction et Gestion des Connaissances, Jan 2011, Brest, France. pp.665-676 Communication dans un congrès hal-00640214v1
	REGLO: une nouvelle stratégie pour résumer un flux de séries temporelles Alice Marascu , Florent Masseglia , Yves Lechevallier Extraction et Gestion des Connaissances, Jan 2010, Hammamet, Tunisie Communication dans un congrès inria-00461834v1
	A Fast Approximation Strategy for Summarizing a Set of Streaming Time Series Alice Marascu , Florent Masseglia , Yves Lechevallier ACM Symposium on Applied Computing, Mar 2010, Sierre, Switzerland Communication dans un congrès inria-00461781v1
	Extraction d'itemsets distinctifs dans les flux de données Chongsheng Zhang , Florent Masseglia Extraction et gestion des connaissances, Jan 2010, France. pp.187-198 Communication dans un congrès hal-00504877v1
	ABS: The Anti Bouncing Model for Usage Data Streams Chongsheng Zhang , Florent Masseglia , Yves Lechevallier ICDM 2010 - 10th IEEE International Conference on Data Mining, Dec 2010, Sydney, NSW, Australia. pp.1169-1174, ⟨10.1109/ICDM.2010.91⟩ Communication dans un congrès lirmm-00653732v1
	A General Framework for Adaptive and Online Detection of Web attacks Wei Wang , Florent Masseglia , Thomas Guyet , René Quiniou , Marie-Odile Cordier 18th International World Wide Web Conference - WWW 2009, Apr 2009, Madrid, Spain Communication dans un congrès inria-00461391v1
	Collaborative Outlier Mining for Intrusion Detection Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.313-323 Communication dans un congrès lirmm-00345574v1
	Online and Adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams Wei Wang , Thomas Guyet , René Quiniou , Marie-Odile Cordier , Florent Masseglia EGC 2009, 2009, Strasbourg, France Communication dans un congrès inria-00460723v1
	SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions François Trousset , Pascal Poncelet , Florent Masseglia ACM First International Workshop on Privacy and Anonymity for Very Large Datasets, join with CIKM 09, Nov 2009, Hong Kong, China. pp.17-24 Communication dans un congrès lirmm-00430646v1
	Détection d'intrusions dans un environnement collaboratif sécurisé Nischal Verma , François Trousset , Pascal Poncelet , Florent Masseglia EGC: Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France. pp.301-312 Communication dans un congrès lirmm-00345566v1
	Parameterless Outlier Detection in Data Streams Alice Marascu , Florent Masseglia ACM symposium on Applied Computing, Mar 2009, Honolulu, United States. pp.1491-1495 Communication dans un congrès inria-00461827v1
	Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution Alice Marascu , Florent Masseglia Extraction et Gestion des Connaissances, Jan 2009, Strasbourg, France Communication dans un congrès inria-00461838v1
	Data Mining for Intrusion Detection: from Outliers to True Intrusions Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet PAKDD 2009 - 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bankok, Thailand. pp.891-898, ⟨10.1007/978-3-642-01307-2_93⟩ Communication dans un congrès inria-00359206v2
	A Multi-Resolution Approach for Atypical Behaviour Mining Alice Marascu , Florent Masseglia Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2009, Bangkok, Thailand. pp.899-906, ⟨10.1007/978-3-642-01307-2⟩ Communication dans un congrès inria-00461831v1
	Gradual Trends in Fuzzy Sequential Patterns Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire IPMU: Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2008, Malaga, Spain. pp.456-463 Communication dans un congrès lirmm-00273910v1
	TED and EVA : Expressing Temporal Tendencies Among Quantitative Variables Using Fuzzy Sequential Patterns Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire WCCI4: World Congress on Computational Intelligence, Jun 2008, Hong Kong, China. pp.1861-1868, ⟨10.1109/FUZZY.2008.4630623⟩ Communication dans un congrès lirmm-00273907v1
	Real Time Web Usage Mining with a Distributed Navigation Analysis Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet RIDE'02: International Workshop on Research Issues on Data Engineering, San Jose, USA, pp.6 Communication dans un congrès lirmm-00268631v1
	Des séquences aux tendances Céline Fiot , Florent Masseglia , Anne Laurent , Maguelonne Teisseire INFORSID: INFormatique des ORganisations et Systèmes d’Information et de Décision, May 2008, Fontainebleau, France Communication dans un congrès lirmm-00273920v1
	Time Aware Mining of Itemsets Bashar Saleh , Florent Masseglia TIME, Jun 2008, Montreal, Canada. pp.93-97, ⟨10.1109/TIME.2008.12⟩ Communication dans un congrès inria-00359182v1
	Limites d'une approche incrémentale pour la segmentation de séquences dans les flux Alice Marascu , Florent Masseglia Fouille de données complexes dans un processus d'extraction de connaissances, Jan 2007, Namur, Belgique Communication dans un congrès inria-00461878v1
	Extraction de motifs séquentiels dans les flots de données d'usage du Web Alice Marascu , Florent Masseglia Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.627-638 Communication dans un congrès inria-00461841v1
	Classification de flots de séquences basée sur une approche centroïde Alice Marascu , Florent Masseglia Fouille de données complexes dans un processus d'extraction de connaissances, Jan 2006, Lille, France. pp.131-139 Communication dans un congrès inria-00461880v1
	Peer-to-Peer Usage Analysis: a Distributed Mining Approach Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire AINA: Advanced Information Networking and Applications, 2006, Vienna, Austria Communication dans un congrès hal-00106798v1
	Classification de flots de séquences basée sur une approche centroïde Alice Marascu , Florent Masseglia INFORSID, Informatique des organisations et systèmes d'information et de décision, Jun 2006, Hammamet, Tunisie Communication dans un congrès inria-00461839v1
	Web Usage Mining : extraction de périodes denses à partir des logs Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu EGC: Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.403-408 Communication dans un congrès inria-00461840v1
	Mining Sequential Patterns from Temporal Streaming Data Alice Marascu , Florent Masseglia First ECML/PKDD Workshop on Mining Spatio-Temporal Data (MSTD'05), held in conjunction with the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Nov 2005, Porto, Portugal Communication dans un congrès inria-00461843v1
	Web Usage Mining: Extracting Unexpected Periods from Web Logs Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire , Alice Marascu IEEE 2nd Workshop on Temporal Data Mining (TDM'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States Communication dans un congrès inria-00461877v1
	Mining Data Streams for Frequent Sequences Extraction Alice Marascu , Florent Masseglia IEEE first Workshop on Mining Complex Data (MCD'05). Held in conjunction with ICDM'05, Nov 2005, Houston, United States Communication dans un congrès inria-00461876v1
	Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet TIME'04: 11th International Symposium on Temporal Representation and Reasoning, Jul 2004, Tatihou, Basse-Normandie (France), pp.87-95 Communication dans un congrès lirmm-00108888v1
	Web Usage Mining: Sequential Pattern Extraction with a Very Low Support Florent Masseglia , Doru Tanasa , Brigitte Trousse Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Apr 2004, Hangzhou, China. pp.513--522, ⟨10.1007/978-3-540-24655-8_56⟩ Communication dans un congrès hal-00950768v1
	HDM, un Module de Fouille de Données Distribué et Temps Réel Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet EGC: Extraction et Gestion des Connaissances, Jan 2002, Montpellier, France. pp.393-398 Communication dans un congrès lirmm-00268518v1
	Web Usage Mining: How to Efficiently Manage New Transactions and New Clients Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire PKDD 2000 - 4th European Conference on Principles of Data Mining and Knowledge Discovery, Sep 2000, Lyon, France. pp.530-535, ⟨10.1007/3-540-45372-5_62⟩ Communication dans un congrès hal-00008926v1

	Highly Scalable Real-Time Analytics with CloudDBAppliance Boyan Kolev , Oleksandra Levchenko , Florent Masseglia , Reza Akbarinia , Esther Pacitti XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. , 10th Extremely Large Databases Conference, 2017 Poster de conférence lirmm-01632355v1

	Successes and New Directions in Data Mining Florent Masseglia , Pascal Poncelet , Maguelonne Teisseire IDEA Group, pp.1-369, 2007, 13 978-1599046457 Ouvrages lirmm-00365422v1
	Data Mining Patterns: New Methods and Applications Pascal Poncelet , Florent Masseglia , Maguelonne Teisseire IDEA Group, pp.307, 2007, 13 978-1599041629 Ouvrages lirmm-00365419v1

	Variable-Size Segmentation for Time Series Representation Lamia Djebour , Reza Akbarinia , Florent Masseglia Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII, 13840, pp.34-65, 2023, Lecture Notes in Computer Science, 978-3-662-66862-7. ⟨10.1007/978-3-662-66863-4_2⟩ Chapitre d'ouvrage lirmm-03882927v1
	Anomaly Detection in Time Series Heraldo Borges , Reza Akbarinia , Florent Masseglia Transactions on Large-Scale Data- and Knowledge-Centered Systems L, LNCS. TLDKS -12930, , pp.46-62, 2021, Lecture Notes in Computer Science. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 978-3-662-64553-6. ⟨10.1007/978-3-662-64553-6_3⟩ Chapitre d'ouvrage lirmm-03359500v1
	Mining Common Outliers for Intrusion Detection Goverdhan Singh , Florent Masseglia , Céline Fiot , Alice Marascu , Pascal Poncelet Fabrice Guillet; Gilbert Ritschard; Djamel Abdelkader Zighed; Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.217-234, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_13⟩ Chapitre d'ouvrage lirmm-00798705v1
	Intrusion Detections in Collaborative Organizations by Preserving Privacy Verma Nischal , François Trousset , Pascal Poncelet , Florent Masseglia Fabrice Guillet and Gilbert Ritschard and Djamel Abdelkader Zighed and Henri Briand. Advances in Knowledge Discovery and Management, 292, Springer, pp.235-247, 2010, Studies in Computational Intelligence, 978-3-642-00579-4. ⟨10.1007/978-3-642-00580-0_14⟩ Chapitre d'ouvrage lirmm-00430642v1
	Web Usage Mining for Ontology Management Brigitte Trousse , Marie-Aude Aufaure , Bénédicte Le Grand , Yves Lechevallier , Florent Masseglia Data Mining with Ontologies: Implementation, Findings and Framework, Idea Group Publishing, pp.37-64, 2007 Chapitre d'ouvrage hal-00256574v1
	Sequential Pattern Mining Florent Masseglia , Maguelonne Teisseire , Pascal Poncelet John Wang. Encyclopedia of Data Warehousing and Mining, Idea Group Reference, pp.1028-1032, 2005, 1-59140-557-2 Chapitre d'ouvrage lirmm-00106576v1

	Procédé et installation de comparaison de consommation d'effluents sans divulgation de données de consommations mesurées Tristan Allard , Georges Hébrail , Florent Masseglia , Esther Pacitti France, N° de brevet: EP 2930471 A1. 2015 Brevet hal-01274207v1
	Process for identifying rare events Renaud Cezar , Dino Ienco , André Mas , Florent Masseglia , Pascal Poncelet United States, Patent n° : EP13153512A; EP2014051963W. 2013 Brevet lirmm-00913008v1

	« Structures : organisation, complexité, dynamique » des mot-clés au sens inattendu Thierry Viéville , Sylvie Boldo , Florent Masseglia , Pierre Bernhard 2015 Autre publication scientifique hal-01238442v1

	SoftED: Metrics for Soft Evaluation of Time Series Event Detection Rebecca Salles , Janio Lima , Rafaelli Coutinho , Esther Pacitti , Florent Masseglia 2023 Pré-publication, Document de travail lirmm-04280618v1

	Isolating rare events in large-scale applications using a backward approach Enikö Székely , Pascal Poncelet , Florent Masseglia , Maguelonne Teisseire , Renaud Cezar [Research Report] RR-13003, LIRMM. 2013 Rapport lirmm-00798074v1
	Médiation Scientifique : une facette de nos métiers de la recherche Antoine Rousseau , Aurélie Darnaud , Brice Goglin , Céline Acharian , Christine Leininger [Interne] Inria. 2013, pp.34 Rapport hal-00804915v1

	Extraction de connaissances : réunir volumes de données et motifs significatifs Florent Masseglia Base de données [cs.DB]. Université Nice Sophia Antipolis, 2009 HDR tel-00788309v1

	LogMagnet Florent Masseglia , Julien Diener 2019 Logiciel hal-02098365v1
	Imitates Oleksandra Levchenko , Djamel-Edine Edine Yagoubi , Reza Akbarinia , Florent Masseglia , Boyan Kolev 2018, ⟨swh:1:dir:852dd9098d2f1119b546f2067ed9532eaba274e6;origin=https://github.com/lev-a/spark-parSketch;visit=swh:1:snp:cd59cb222ee99935f6feba841284702598eb21cb;anchor=swh:1:rev:1ff4e32f95fefd7f77c86bcb8d16da6e3f1dc90b⟩ Logiciel hal-02095640v1

Florent Masseglia

Publications

Life Science Workflow Services (LifeSWS): motivations and architecture

kNN matrix profile for knowledge discovery from time series

BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series Databases

Massively Distributed Time Series Indexing and Querying

Space Time Series Clustering: Algorithms, Taxonomy, and Case Study on Urban Smart Cities

A “big-data” algorithm for KNN-PLS

Spatial-Time Motifs Discovery

Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s

ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows

A Highly Scalable Parallel Algorithm for Maximally Informative k-Itemset Mining

Data placement in massively distributed environments for fast parallel mining of frequent itemsets

Où se trouve la science informatique ?

The anti-bouncing data stream model for web usage streams with intralinkings

Autonomic Intrusion Detection: Adaptively Detecting Anomalies over Unlabeled Audit Data Streams in Computer Networks

Person of Interest : la surveillance des données individuelles pour anticiper les crimes

Discovering Frequent Behaviors: Time is an Essential Element of the Context

Discovering Significant Evolution Patterns from Satelllite Image Time Series

Atypicity Detection in Data Streams: a Self-Adjusting Approach

Idée reçue : Les premiers résultats de Google sont les meilleurs

À propos de la fouille de données

Efficient Mining of Sequential Patterns with Time Constraints: Reducing the Combinations

Web Usage Mining: Extracting Unexpected Periods from Web Logs

Mining Sequential Patterns from Data Streams: a Centroid Approach

Extraction de motifs séquentiels. Problèmes et méthodes

HDM: A Client/Server/Engine Architecture for Real Time Web Usage Mining

Incremental Mining of Sequential Patterns in Large Databases

Variable size segmentation for efficient representation and querying of non-uniform time series datasets

Parallel Techniques for Variable Size Segmentation of Time Series Datasets

ASAX : Segmentation adaptative basée sur la quantité d'information pour SAX

Massively Distributed Clustering via Dirichlet Process Mixture

High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models

Distributed Algorithms to Find Similar Time Series

Dirichlet Process Mixture Models made Scalable and Effective by means of Massive Distribution

Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s

Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities

Discovering Tight Space-Time Sequences

Maximally Informative k-Itemset Mining from Massively Distributed Data Streams

A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources

Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets

Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project

RadiusSketch: Massively Distributed Indexing of Time Series

Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

DPiSAX: Massively Distributed Partitioned iSAX

Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

Mining Maximally Informative k-Itemsets in Massively Distributed Environments

A New Privacy-Preserving Solution for Clustering Massively Distributed Personal Times-Series

Aggregation-Aware Compression of Probabilistic Streaming Time Series

Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce

When sharing computer science with everyone also helps avoiding digital prejudices

Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data

Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments

A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data

Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering

Compression de flux de données probabilistes attentive à l'agrégation

A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications

Fast and Exact Mining of Probabilistic Data Streams

Mining frequent itemsets over tuple-evolving data streams

FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data Streams

Modeling and Clustering Users with Evolving Profiles in Usage Streams

Discovering Highly Informative Feature Set Over High Dimensions

Découverte de motifs d'évolution significatifs dans les séries temporelles d'images satellites

REGLO: une nouvelle stratégie pour résumer un flux de séries temporelles

A Fast Approximation Strategy for Summarizing a Set of Streaming Time Series

Extraction d'itemsets distinctifs dans les flux de données

ABS: The Anti Bouncing Model for Usage Data Streams

A General Framework for Adaptive and Online Detection of Web attacks

Collaborative Outlier Mining for Intrusion Detection

Online and Adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams

SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions

Détection d'intrusions dans un environnement collaboratif sécurisé

Parameterless Outlier Detection in Data Streams

Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution

Data Mining for Intrusion Detection: from Outliers to True Intrusions

A Multi-Resolution Approach for Atypical Behaviour Mining

Gradual Trends in Fuzzy Sequential Patterns

TED and EVA : Expressing Temporal Tendencies Among Quantitative Variables Using Fuzzy Sequential Patterns

Real Time Web Usage Mining with a Distributed Navigation Analysis

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