Florent Masseglia

116 papers A* 5A 4B 7C 9Misc 7Journal 36Unranked 45

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	ClimBurst: A Dynamic Visualization Tool to Display Climatological Anomalies over Time and Space. CIKM Guillaume Coulaud, Benoit Lange, Dennis Shasha, Audrey Brouillet, Reza Akbarinia, Florent Masseglia
2025	—	`conf`	Energy Efficient Time Series Anomaly Detection. ICECET Rebecca Salles, Benoit Lange, Reza Akbarinia, Florent Masseglia, Esther Pacitti
2025	J	`jnl`	Scalable and accurate online multivariate anomaly detection. Inf. Syst. Rebecca Salles, Benoit Lange, Reza Akbarinia, Florent Masseglia, Eduardo S. Ogasawara, Esther Pacitti
2024	A	`conf`	A One-Health Platform for Antimicrobial Resistance Data Analytics. CIKM Benoit Lange, Reza Akbarinia, Florent Masseglia
2024	J	`jnl`	SoftED: Metrics for soft evaluation of time series event detection. Comput. Ind. Eng. Rebecca Salles, Janio Lima, Michel Reis, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara
2023	J	`jnl`	Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. Reza Akbarinia, Christophe Botella, Alexis Joly, Florent Masseglia, Marta Mattoso, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Christophe Pradal, Dennis E. Shasha, Patrick Valduriez
2023	J	`jnl`	SoftED: Metrics for Soft Evaluation of Time Series Event Detection. CoRR Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara
2023	J	`jnl`	Variable-Size Segmentation for Time Series Representation. Trans. Large Scale Data Knowl. Centered Syst. Lamia Djebour, Reza Akbarinia, Florent Masseglia
2023	J	`jnl`	kNN matrix profile for knowledge discovery from time series. Data Min. Knowl. Discov. Tanmoy Mondal, Reza Akbarinia, Florent Masseglia
2022	C	`conf`	Parallel Techniques for Variable Size Segmentation of Time Series Datasets. ADBIS Lamia Djebour, Reza Akbarinia, Florent Masseglia
2022	Misc	`conf`	Variable size segmentation for efficient representation and querying of non-uniform time series datasets. SAC Lamia Djebour, Reza Akbarinia, Florent Masseglia
2021	J	`jnl`	Anomaly Detection in Time Series. Trans. Large Scale Data Knowl. Centered Syst. Heraldo Borges, Reza Akbarinia, Florent Masseglia
2021	J	`jnl`	BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowl. Inf. Syst. Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez
2020	J	`jnl`	Feedback Clustering for Online Travel Agencies Searches: a Case Study. CoRR Sara Scaramuccia, Simon Nanty, Florent Masseglia
2020	—	`conf`	Massively Distributed Clustering via Dirichlet Process Mixture. ECML/PKDD (5) Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia, Isabelle Sanchez
2020	J	`jnl`	Massively Distributed Time Series Indexing and Querying. IEEE Trans. Knowl. Data Eng. Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
2020	J	`jnl`	Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities. Eng. Appl. Artif. Intell. Asma Belhadi, Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Florent Masseglia, Jerry Chun-Wei Lin
2020	J	`jnl`	Spatial-time motifs discovery. Intell. Data Anal. Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara
2019	J	`jnl`	Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s. CoRR Corinne Atlan, Jean-Pierre Archambault, Olivier Banus, Frédéric Bardeau, Amélie Blandeau, Antonin Cois, Martine Courbin, Gérard Giraudon, Saint-Clair Lefèvre, Valérie Letard, Bastien Masse, Florent Masseglia, Benjamin Ninassi, Sophie de Quatrebarbes, Margarida Romero, Didier Roy, Thierry Viéville
2019	Misc	`conf`	Dirichlet process mixture models made scalable and effective by means of massive distribution. SAC Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
2019	—	`conf`	Distributed Algorithms to Find Similar Time Series. ECML/PKDD (3) Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia
2019	—	`conf`	High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models. IEEE BigData Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
2019	—	`conf`	Massively Distributed Dirichlet Process Mixture Models. INFORSID Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
2019	C	`conf`	Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities. CLOSER Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez
2019	C	`conf`	Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. DATA Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez
2018	J	`jnl`	A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. CoRR Mohamed Reda Bouadjenek, Esther Pacitti, Maximilien Servajean, Florent Masseglia, Amr El Abbadi
2018	B	`conf`	Discovering Tight Space-Time Sequences. DaWaK Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
2018	Misc	`conf`	Maximally informative k-itemset mining from massively distributed data streams. SAC Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
2018	J	`jnl`	ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows. Data Min. Knowl. Discov. Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis E. Shasha
2018	—	`conf`	Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva, Vítor Silva, Renan Souza, Kary A. C. S. Ocaña, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fábio Porto, Dennis E. Shasha
2018	A	`conf`	Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets. CIKM Oleksandra Levchenko, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis E. Shasha
2017	J	`jnl`	A highly scalable parallel algorithm for maximally informative k-itemset mining. Knowl. Inf. Syst. Saber Salah, Reza Akbarinia, Florent Masseglia
2017	A*	`conf`	DPiSAX: Massively Distributed Partitioned iSAX. ICDM Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
2017	J	`jnl`	Data placement in massively distributed environments for fast parallel mining of frequent itemsets. Knowl. Inf. Syst. Saber Salah, Reza Akbarinia, Florent Masseglia
2017	A	`conf`	Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach. CAiSE Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
2017	B	`conf`	RadiusSketch: Massively Distributed Indexing of Time Series. DSAA Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis E. Shasha
2016	A*	`conf`	A new privacy-preserving solution for clustering massively distributed personal times-series. ICDE Tristan Allard, Georges Hébrail, Florent Masseglia, Esther Pacitti
2016	—	`conf`	Spatial Sequential Pattern Mining for Seismic Data. SBBD Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
2015	—	`conf`	A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data. DEXA (1) Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
2015	—	`conf`	Aggregation-Aware Compression of Probabilistic Streaming Time Series. MLDM Reza Akbarinia, Florent Masseglia
2015	—	`conf`	Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering. SIGMOD Conference Tristan Allard, Georges Hébrail, Florent Masseglia, Esther Pacitti
2015	—	`conf`	Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments. DEXA (1) Saber Salah, Reza Akbarinia, Florent Masseglia
2015	A*	`conf`	Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data. ICDM Saber Salah, Reza Akbarinia, Florent Masseglia
2015	—	`conf`	Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce. MLDM Saber Salah, Reza Akbarinia, Florent Masseglia
2014	J	`jnl`	Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks. Knowl. Based Syst. Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masseglia, Xiangliang Zhang
2014	J	`jnl`	The anti-bouncing data stream model for web usage streams with intralinkings. Inf. Sci. Chongsheng Zhang, Florent Masseglia, Yves Lechevallier
2013	B	`conf`	A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications. Discovery Science Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar
2013	—	`conf`	Fast and Exact Mining of Probabilistic Data Streams. ECML/PKDD (1) Reza Akbarinia, Florent Masseglia
2013	Misc	`conf`	Mining frequent itemsets over tuple-evolving data streams. SAC Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia
2012	B	`conf`	Discovering Highly Informative Feature Set over High Dimensions. ICTAI Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
2012	C	`conf`	Modeling and Clustering Users with Evolving Profiles in Usage Streams. TIME Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
2011	J	`jnl`	Atypicity detection in data streams: A self-adjusting approach. Intell. Data Anal. Alice Marascu, Florent Masseglia
2011	J	`jnl`	Discovering Significant Evolution Patterns from Satellite Image Time Series. Int. J. Neural Syst. François Petitjean, Florent Masseglia, Pierre Gançarski, Germain Forestier
2011	J	`jnl`	Discovering frequent behaviors: time is an essential element of the context. Knowl. Inf. Syst. Bashar Saleh, Florent Masseglia
2011	—	`conf`	Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites. EGC François Petitjean, Florent Masseglia, Pierre Gançarski
2010	Misc	`conf`	A fast approximation strategy for summarizing a set of streaming time series. SAC Alice Marascu, Florent Masseglia, Yves Lechevallier
2010	A*	`conf`	ABS: The Anti Bouncing Model for Usage Data Streams. ICDM Chongsheng Zhang, Florent Masseglia, Yves Lechevallier
2010	C	`conf`	Analysing Satellite Image Time Series by Means of Pattern Mining. IDEAL François Petitjean, Pierre Gançarski, Florent Masseglia, Germain Forestier
2010	—	`conf`	Discovering Highly Informative Feature Sets from Data Streams. DEXA (1) Chongsheng Zhang, Florent Masseglia
2010	—	`conf`	Extraction d'itemsets distinctifs dans les flux de données. EGC Chongsheng Zhang, Florent Masseglia
2010	—	`conf`	REGLO : une nouvelle stratégie pour résumer un flux de séries temporelles. EGC Alice Marascu, Florent Masseglia, Yves Lechevallier
2009	B	`conf`	A Multi-resolution Approach for Atypical Behaviour Mining. PAKDD Alice Marascu, Florent Masseglia
2009	A*	`conf`	A general framework for adaptive and online detection of web attacks. WWW Wei Wang, Florent Masseglia, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier
2009	—	`conf`	Collaborative Outlier Mining for Intrusion Detection. EGC Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
2009	B	`conf`	Data Mining for Intrusion Detection: From Outliers to True Intrusions. PAKDD Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
2009	—	`conf`	Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution. EGC Alice Marascu, Florent Masseglia
2009	—	`conf`	Détection d'intrusions dans un environnement collaboratif sécurisé. EGC Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia
2009	J	`jnl`	Efficient mining of sequential patterns with time constraints: Reducing the combinations. Expert Syst. Appl. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2009	J	`jnl`	Evolution patterns and gradual trends. Int. J. Intell. Syst. Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire
2009	—	`book`	Extraction de connaissances : réunir volumes de données et motifs significatifs. Florent Masseglia
2009	—	`conf`	Intrusion Detections in Collaborative Organizations by Preserving Privacy. EGC (best of volume) Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia
2009	—	`conf`	Mining Common Outliers for Intrusion Detection. EGC (best of volume) Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
2009	—	`conf`	Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams. EGC Wei Wang, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier, Florent Masseglia
2009	Misc	`conf`	Parameterless outlier detection in data streams. SAC Alice Marascu, Florent Masseglia
2009	—	`conf`	SAX: a privacy preserving general pupose methodapplied to detection of intrusions. CIKM-PAVLAD François Trousset, Pascal Poncelet, Florent Masseglia
2009	—	`ch.`	Sequential Pattern Mining. Encyclopedia of Data Warehousing and Mining Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
2008	—	`conf`	Des séquences aux tendances. INFORSID Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire
2008	J	`jnl`	Editorial: Introduction to the Special Issue on Multimedia Data Mining. IEEE Trans. Multim. Zhongfei Zhang, Florent Masseglia, Ramesh C. Jain, Alberto Del Bimbo
2008	—	`conf`	Extraction d'itemsets compacts. EGC Bashar Saleh, Florent Masseglia
2008	B	`conf`	TED and EVA: Expressing temporal tendencies among quantitative variables using fuzzy sequential patterns. FUZZ-IEEE Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire
2008	C	`conf`	Time Aware Mining of Itemsets. TIME Bashar Saleh, Florent Masseglia
2008	J	`jnl`	Web usage mining: extracting unexpected periods from web logs. Data Min. Knowl. Discov. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu
2007	J	`jnl`	Mining sequential patterns from data streams: a centroid approach. Monde des Util. Anal. Données Alice Marascu, Florent Masseglia
2006	—	`conf`	Extraction de motifs séquentiels dans les flots de données d'usage du Web. EGC Alice Marascu, Florent Masseglia
2006	—	`conf`	Fouille de données dans les systèmes Pair-à-Pair pour améliorer la recherche de ressources. EGC Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2006	—	`conf`	GWUM : une généralisation des pages Web guidée par les usages. INFORSID Doru Tanasa, Florent Masseglia, Brigitte Trousse
2006	J	`jnl`	KDD/MDM 2006: The 7 SIGKDD Explor. Zhongfei Zhang, Florent Masseglia, Ramesh C. Jain, Alberto Del Bimbo
2006	J	`jnl`	Mining sequential patterns from data streams: a centroid approach. J. Intell. Inf. Syst. Alice Marascu, Florent Masseglia
2006	J	`jnl`	Notes de lecture : Fouille de Données Complexes. Monde des Util. Anal. Données Omar Boussaid, Pierre Gançarski, Florent Masseglia, Brigitte Trousse, Dominique Desbois
2006	—	`conf`	Peer-to-Peer Usage Analysis: a Distributed Mining Approach. AINA (1) Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2006	—	`conf`	Une approche centroïde pour la classification de séquences dans les data streams. INFORSID Alice Marascu, Florent Masseglia
2006	—	`conf`	Web Usage Mining : extraction de périodes denses à partir des logs. EGC Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu
2005	—	`ed.`	Proceedings of the 6th international workshop on Multimedia data mining - mining integrated media and complex data, MDM 2005, Chicago, Illinois, USA, August 21, 2005 MDM/KDD Fatma Bouali, Latifur Khan, Florent Masseglia
2005	—	`conf`	Sequential Pattern Mining for Structure-Based XML Document Classification. INEX Calin Garboni, Florent Masseglia, Brigitte Trousse
2005	J	`jnl`	The 6th international workshop on Multimedia Data Mining (MDM/KDD2005). SIGKDD Explor. Fatma Bouali, Latifur Khan, Florent Masseglia
2004	—	`conf`	Classer pour découvrir : une nouvelle méthode d'analyse du comportement de tous les utilisateurs d'un site web. EGC Doru Tanasa, Brigitte Trousse, Florent Masseglia
2004	J	`jnl`	Diviser pour découvrir. Une méthode d'analyse du comportement de tous les utilisateurs d'un site web. Ingénierie des Systèmes d Inf. Florent Masseglia, Doru Tanasa, Brigitte Trousse
2004	J	`jnl`	Extraction de motifs séquentiels. Problèmes et méthodes. Ingénierie des Systèmes d Inf. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
2004	C	`conf`	Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. TIME Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2004	C	`conf`	Web Usage Mining: Sequential Pattern Extraction with a Very Low Support. APWeb Florent Masseglia, Doru Tanasa, Brigitte Trousse
2003	—	`conf`	Diviser pour Découvrir : une Méthode d'Analyse du Comportement de Tous les Utilisateurs d'un Site Web. BDA Florent Masseglia, Doru Tanasa, Brigitte Trousse
2003	J	`jnl`	HDM: A Client/Server/Engine Architecture for Real-Time Web Usage Mining. Knowl. Inf. Syst. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
2003	J	`jnl`	Incremental mining of sequential patterns in large databases. Data Knowl. Eng. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2002	—	`conf`	HDM, un module de fouille de données distribué et temps réel. EGC Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2002	—	`conf`	Real Time Web Usage Mining with a Distributed Navigation Analysis. RIDE Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
2001	—	`conf`	Real-Time Web Usage Mining: A Heuristic Based Distributed Miner. WISE (1) Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
2001	—	`conf`	Web Usage Mining Inter-Sites: Analyse du comportement des utilisateurs à impact immédiat. BDA Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
2000	Misc	`conf`	A General Architecture for Finding Structural Regularities on the Web. AIMSA Pierre-Alain Laur, Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2000	—	`conf`	Incremental Mining of Sequential Patterns in Large Databases. BDA Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
2000	—	`conf`	Schema Mining: Finding Structural Regularity among Semistructured Data. PKDD Pierre-Alain Laur, Florent Masseglia, Pascal Poncelet
2000	—	`conf`	Web Usage Mining: How to Efficiently Manage New Transactions and New Clients. PKDD Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
1999	—	`conf`	Extraction efficace de motifs séquentiels : le prétraitement des données. Proc. 15èmes Journées Bases de Données Avancées, BDA Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
1999	J	`jnl`	Using data mining techniques on Web access logs to dynamically improve hypertext structure. SIGWEB Newsl. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
1999	C	`conf`	WebTool: An Integrated Framework for Data Mining. DEXA Florent Masseglia, Pascal Poncelet, Rosine Cicchetti
1999	—	`conf`	Webtool: un environnement intégré de data mining. INFORSID Florent Masseglia, Pascal Poncelet, Rosine Cicchetti
1998	—	`conf`	The PSP Approach for Mining Sequential Patterns. PKDD Florent Masseglia, Fabienne Cathala, Pascal Poncelet