Florent Masseglia

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 33

Top Venues

CoRR

Knowl. Inf. Syst.

SAC

Trans. Large Scale Data Knowl. Centered Syst.

Publications

Tanmoy Mondal, Reza Akbarinia, Florent Masseglia
kNN matrix profile for knowledge discovery from time series. Data Min. Knowl. Discov. 37 (3) (2023)
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
Life Science Workflow Services (LifeSWS): Motivations and Architecture. Trans. Large Scale Data Knowl. Centered Syst. 55 (2023)
Rebecca Salles, Janio Lima, Rafaelli Coutinho, Esther Pacitti, Florent Masseglia, Reza Akbarinia, Chao Chen, Jonathan M. Garibaldi, Fábio Porto, Eduardo S. Ogasawara
SoftED: Metrics for Soft Evaluation of Time Series Event Detection. CoRR (2023)
Lamia Djebour, Reza Akbarinia, Florent Masseglia
Variable-Size Segmentation for Time Series Representation. Trans. Large Scale Data Knowl. Centered Syst. 53 (2022)
Lamia Djebour, Reza Akbarinia, Florent Masseglia
Variable size segmentation for efficient representation and querying of non-uniform time series datasets. SAC (2022)
Lamia Djebour, Reza Akbarinia, Florent Masseglia
Parallel Techniques for Variable Size Segmentation of Time Series Datasets. ADBIS (2022)
Heraldo Borges, Reza Akbarinia, Florent Masseglia
Anomaly Detection in Time Series. Trans. Large Scale Data Knowl. Centered Syst. 50 (2021)
Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez
BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowl. Inf. Syst. 63 (2) (2021)
Sara Scaramuccia, Simon Nanty, Florent Masseglia
Feedback Clustering for Online Travel Agencies Searches: a Case Study. CoRR (2020)
Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
Massively Distributed Time Series Indexing and Querying. IEEE Trans. Knowl. Data Eng. 32 (1) (2020)
Asma Belhadi, Youcef Djenouri, Kjetil Nørvåg, Heri Ramampiaro, Florent Masseglia, Jerry Chun-Wei Lin
Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities. Eng. Appl. Artif. Intell. 95 (2020)
Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara
Spatial-time motifs discovery. Intell. Data Anal. 24 (5) (2020)
Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia, Isabelle Sanchez
Massively Distributed Clustering via Dirichlet Process Mixture. ECML/PKDD (5) (2020)
Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
Dirichlet process mixture models made scalable and effective by means of massive distribution. SAC (2019)
Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez
Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. DATA (2019)
Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models. IEEE BigData (2019)
Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
Massively Distributed Dirichlet Process Mixture Models. INFORSID (2019)
Boyan Kolev, Reza Akbarinia, Ricardo Jiménez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patiño, Patrick Valduriez
Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities. CLOSER (2019)
Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia
Distributed Algorithms to Find Similar Time Series. ECML/PKDD (3) (2019)
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
Apprentissage de la pensée informatique : de la formation des enseignant·e·s à la formation de tou·te·s les citoyen·ne·s. CoRR (2019)
Oleksandra Levchenko, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis E. Shasha
Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets. CIKM (2018)
Riccardo Campisano, Heraldo Borges, Fábio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
Discovering Tight Space-Time Sequences. DaWaK (2018)
Mohamed Reda Bouadjenek, Esther Pacitti, Maximilien Servajean, Florent Masseglia, Amr El Abbadi
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. CoRR (2018)
Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
Maximally informative k-itemset mining from massively distributed data streams. SAC (2018)
Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis E. Shasha
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows. Data Min. Knowl. Discov. 32 (5) (2018)
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
Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. LADaS@VLDB (2018)
Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis E. Shasha
RadiusSketch: Massively Distributed Indexing of Time Series. DSAA (2017)
Saber Salah, Reza Akbarinia, Florent Masseglia
A highly scalable parallel algorithm for maximally informative k-itemset mining. Knowl. Inf. Syst. 50 (1) (2017)
Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach. CAiSE (2017)
Saber Salah, Reza Akbarinia, Florent Masseglia
Data placement in massively distributed environments for fast parallel mining of frequent itemsets. Knowl. Inf. Syst. 53 (1) (2017)
Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
DPiSAX: Massively Distributed Partitioned iSAX. ICDM (2017)
Tristan Allard, Georges Hébrail, Florent Masseglia, Esther Pacitti
A new privacy-preserving solution for clustering massively distributed personal times-series. ICDE (2016)
Riccardo Campisano, Fábio Porto, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara
Spatial Sequential Pattern Mining for Seismic Data. SBBD (2016)
Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data. DEXA (1) (2015)
Saber Salah, Reza Akbarinia, Florent Masseglia
Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data. ICDM (2015)
Reza Akbarinia, Florent Masseglia
Aggregation-Aware Compression of Probabilistic Streaming Time Series. MLDM (2015)
Saber Salah, Reza Akbarinia, Florent Masseglia
Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments. DEXA (1) (2015)
Tristan Allard, Georges Hébrail, Florent Masseglia, Esther Pacitti
Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering. SIGMOD Conference (2015)
Saber Salah, Reza Akbarinia, Florent Masseglia
Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce. MLDM (2015)
Chongsheng Zhang, Florent Masseglia, Yves Lechevallier
The anti-bouncing data stream model for web usage streams with intralinkings. Inf. Sci. 278 (2014)
Wei Wang, Thomas Guyet, René Quiniou, Marie-Odile Cordier, Florent Masseglia, Xiangliang Zhang
Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks. Knowl. Based Syst. 70 (2014)
Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia
Mining frequent itemsets over tuple-evolving data streams. SAC (2013)
Reza Akbarinia, Florent Masseglia
Fast and Exact Mining of Probabilistic Data Streams. ECML/PKDD (1) (2013)
Enikö Székely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar
A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications. Discovery Science (2013)
Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
Discovering Highly Informative Feature Set over High Dimensions. ICTAI (2012)
Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
Modeling and Clustering Users with Evolving Profiles in Usage Streams. TIME (2012)
François Petitjean, Florent Masseglia, Pierre Gançarski
Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites. EGC (2011)
Alice Marascu, Florent Masseglia
Atypicity detection in data streams: A self-adjusting approach. Intell. Data Anal. 15 (1) (2011)
François Petitjean, Florent Masseglia, Pierre Gançarski, Germain Forestier
Discovering Significant Evolution Patterns from Satellite Image Time Series. Int. J. Neural Syst. 21 (6) (2011)
Bashar Saleh, Florent Masseglia
Discovering frequent behaviors: time is an essential element of the context. Knowl. Inf. Syst. 28 (2) (2011)
Chongsheng Zhang, Florent Masseglia
Extraction d'itemsets distinctifs dans les flux de données. EGC (2010)
Alice Marascu, Florent Masseglia, Yves Lechevallier
A fast approximation strategy for summarizing a set of streaming time series. SAC (2010)
Chongsheng Zhang, Florent Masseglia
Discovering Highly Informative Feature Sets from Data Streams. DEXA (1) (2010)
François Petitjean, Pierre Gançarski, Florent Masseglia, Germain Forestier
Analysing Satellite Image Time Series by Means of Pattern Mining. IDEAL (2010)
Chongsheng Zhang, Florent Masseglia, Yves Lechevallier
ABS: The Anti Bouncing Model for Usage Data Streams. ICDM (2010)
Alice Marascu, Florent Masseglia, Yves Lechevallier
REGLO : une nouvelle stratégie pour résumer un flux de séries temporelles. EGC (2010)
Alice Marascu, Florent Masseglia
Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution. EGC (2009)
Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia
Intrusion Detections in Collaborative Organizations by Preserving Privacy. EGC (best of volume) (2009)
Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia
Détection d'intrusions dans un environnement collaboratif sécurisé. EGC (2009)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
Efficient mining of sequential patterns with time constraints: Reducing the combinations. Expert Syst. Appl. 36 (2) (2009)
Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
Collaborative Outlier Mining for Intrusion Detection. EGC (2009)
Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire
Evolution patterns and gradual trends. Int. J. Intell. Syst. 24 (10) (2009)
Wei Wang, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier, Florent Masseglia
Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams. EGC (2009)
Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
Data Mining for Intrusion Detection: From Outliers to True Intrusions. PAKDD (2009)
François Trousset, Pascal Poncelet, Florent Masseglia
SAX: a privacy preserving general pupose methodapplied to detection of intrusions. CIKM-PAVLAD (2009)
Alice Marascu, Florent Masseglia
Parameterless outlier detection in data streams. SAC (2009)
Alice Marascu, Florent Masseglia
A Multi-resolution Approach for Atypical Behaviour Mining. PAKDD (2009)
Wei Wang, Florent Masseglia, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier
A general framework for adaptive and online detection of web attacks. WWW (2009)
Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
Mining Common Outliers for Intrusion Detection. EGC (best of volume) (2009)
Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire
Des séquences aux tendances. INFORSID (2008)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu
Web usage mining: extracting unexpected periods from web logs. Data Min. Knowl. Discov. 16 (1) (2008)
Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire
TED and EVA: Expressing temporal tendencies among quantitative variables using fuzzy sequential patterns. FUZZ-IEEE (2008)
Zhongfei Zhang, Florent Masseglia, Ramesh C. Jain, Alberto Del Bimbo
Editorial: Introduction to the Special Issue on Multimedia Data Mining. IEEE Trans. Multim. 10 (2) (2008)
Bashar Saleh, Florent Masseglia
Extraction d'itemsets compacts. EGC (2008)
Bashar Saleh, Florent Masseglia
Time Aware Mining of Itemsets. TIME (2008)
Alice Marascu, Florent Masseglia
Mining sequential patterns from data streams: a centroid approach. Monde des Util. Anal. Données 36 (2007)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu
Web Usage Mining : extraction de périodes denses à partir des logs. EGC (2006)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
Peer-to-Peer Usage Analysis: a Distributed Mining Approach. AINA (1) (2006)
Alice Marascu, Florent Masseglia
Une approche centroïde pour la classification de séquences dans les data streams. INFORSID (2006)
Omar Boussaid, Pierre Gançarski, Florent Masseglia, Brigitte Trousse, Dominique Desbois
Notes de lecture : Fouille de Données Complexes. Monde des Util. Anal. Données 34 (2006)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
Fouille de données dans les systèmes Pair-à-Pair pour améliorer la recherche de ressources. EGC (2006)
Alice Marascu, Florent Masseglia
Mining sequential patterns from data streams: a centroid approach. J. Intell. Inf. Syst. 27 (3) (2006)
Zhongfei Zhang, Florent Masseglia, Ramesh C. Jain, Alberto Del Bimbo
KDD Multimedia Data Mining workshop report. SIGKDD Explor. 8 (2) (2006)
Doru Tanasa, Florent Masseglia, Brigitte Trousse
GWUM : une généralisation des pages Web guidée par les usages. INFORSID (2006)
Alice Marascu, Florent Masseglia
Extraction de motifs séquentiels dans les flots de données d'usage du Web. EGC (2006)
Fatma Bouali, Latifur Khan, Florent Masseglia
The 6th international workshop on Multimedia Data Mining (MDM/KDD2005). SIGKDD Explor. 7 (2) (2005)
Calin Garboni, Florent Masseglia, Brigitte Trousse
Sequential Pattern Mining for Structure-Based XML Document Classification. INEX (2005)
Doru Tanasa, Brigitte Trousse, Florent Masseglia
Classer pour découvrir : une nouvelle méthode d'analyse du comportement de tous les utilisateurs d'un site web. EGC (2004)
Florent Masseglia, Doru Tanasa, Brigitte Trousse
Diviser pour découvrir. Une méthode d'analyse du comportement de tous les utilisateurs d'un site web. Ingénierie des Systèmes d Inf. 9 (1) (2004)
Florent Masseglia, Doru Tanasa, Brigitte Trousse
Web Usage Mining: Sequential Pattern Extraction with a Very Low Support. APWeb (2004)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. TIME (2004)
Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
Extraction de motifs séquentiels. Problèmes et méthodes. Ingénierie des Systèmes d Inf. 9 (3-4) (2004)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
Incremental mining of sequential patterns in large databases. Data Knowl. Eng. 46 (1) (2003)
Florent Masseglia, Doru Tanasa, Brigitte Trousse
Diviser pour Découvrir : une Méthode d'Analyse du Comportement de Tous les Utilisateurs d'un Site Web. BDA (2003)
Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
HDM: A Client/Server/Engine Architecture for Real-Time Web Usage Mining. Knowl. Inf. Syst. 5 (4) (2003)
Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
Real Time Web Usage Mining with a Distributed Navigation Analysis. RIDE (2002)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
HDM, un module de fouille de données distribué et temps réel. EGC (2002)
Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
Real-Time Web Usage Mining: A Heuristic Based Distributed Miner. WISE (1) (2001)
Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet
Web Usage Mining Inter-Sites: Analyse du comportement des utilisateurs à impact immédiat. BDA (2001)
Pierre-Alain Laur, Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
A General Architecture for Finding Structural Regularities on the Web. AIMSA (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Florent Masseglia