The PSP Approach for Mining Sequential Patterns. - Florent Masseglia; Fabienne Cathala; Pascal Poncelet (PKDD, 1998)

Extraction efficace de motifs séquentiels : le prétraitement des données. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (Proc. 15èmes Journées Bases de Données Avancées, BDA, 1999)

WebTool: An Integrated Framework for Data Mining. - Florent Masseglia; Pascal Poncelet; Rosine Cicchetti (DEXA, 1999)

Webtool: un environnement intégré de data mining. - Florent Masseglia; Pascal Poncelet; Rosine Cicchetti (INFORSID, 1999)

Using data mining techniques on Web access logs to dynamically improve hypertext structure. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (SIGWEB Newsl., 1999)

A General Architecture for Finding Structural Regularities on the Web. - Pierre-Alain Laur; Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (AIMSA, 2000)

Schema Mining: Finding Structural Regularity among Semistructured Data. - Pierre-Alain Laur; Florent Masseglia; Pascal Poncelet (PKDD, 2000)

Web Usage Mining: How to Efficiently Manage New Transactions and New Clients. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (PKDD, 2000)

Web Usage Mining Inter-Sites: Analyse du comportement des utilisateurs à impact immédiat. - Florent Masseglia; Maguelonne Teisseire; Pascal Poncelet (BDA, 2001)

Real-Time Web Usage Mining: A Heuristic Based Distributed Miner. - Florent Masseglia; Maguelonne Teisseire; Pascal Poncelet (WISE (1), 2001)

HDM, un module de fouille de données distribué et temps réel. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (EGC, 2002)

Real Time Web Usage Mining with a Distributed Navigation Analysis. - Florent Masseglia; Maguelonne Teisseire; Pascal Poncelet (RIDE, 2002)

Incremental mining of sequential patterns in large databases. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (Data Knowl. Eng., 2003)

HDM: A Client/Server/Engine Architecture for Real-Time Web Usage Mining. - Florent Masseglia; Maguelonne Teisseire; Pascal Poncelet (Knowl. Inf. Syst., 2003)

Web Usage Mining: Sequential Pattern Extraction with a Very Low Support. - Florent Masseglia; Doru Tanasa; Brigitte Trousse (APWeb, 2004)

Classer pour découvrir : une nouvelle méthode d'analyse du comportement de tous les utilisateurs d'un site web. - Doru Tanasa; Brigitte Trousse; Florent Masseglia (EGC, 2004)

Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (TIME, 2004)

Extraction de motifs séquentiels. Problèmes et méthodes. - Florent Masseglia; Maguelonne Teisseire; Pascal Poncelet (Ingénierie des Systèmes d Inf., 2004)

Diviser pour découvrir. Une méthode d'analyse du comportement de tous les utilisateurs d'un site web. - Florent Masseglia; Doru Tanasa; Brigitte Trousse (Ingénierie des Systèmes d Inf., 2004)

Sequential Pattern Mining for Structure-Based XML Document Classification. - Calin Garboni; Florent Masseglia; Brigitte Trousse (INEX, 2005)

The 6th international workshop on Multimedia Data Mining (MDM/KDD2005). - Fatma Bouali; Latifur Khan; Florent Masseglia (SIGKDD Explor., 2005)

Peer-to-Peer Usage Analysis: a Distributed Mining Approach. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (AINA (1), 2006)

Extraction de motifs séquentiels dans les flots de données d'usage du Web. - Alice Marascu; Florent Masseglia (EGC, 2006)

Fouille de données dans les systèmes Pair-à-Pair pour améliorer la recherche de ressources. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (EGC, 2006)

Web Usage Mining : extraction de périodes denses à partir des logs. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire; Alice Marascu (EGC, 2006)

Une approche centroïde pour la classification de séquences dans les data streams. - Alice Marascu; Florent Masseglia (INFORSID, 2006)

GWUM : une généralisation des pages Web guidée par les usages. - Doru Tanasa; Florent Masseglia; Brigitte Trousse (INFORSID, 2006)

Notes de lecture : Fouille de Données Complexes. - Omar Boussaid; Pierre Gançarski; Florent Masseglia; Brigitte Trousse; Dominique Desbois (Monde des Util. Anal. Données, 2006)

KDD/MDM 2006: The 7th KDD Multimedia Data Mining workshop report. - Zhongfei Zhang; Florent Masseglia; Ramesh C. Jain; Alberto Del Bimbo (SIGKDD Explor., 2006)

Mining sequential patterns from data streams: a centroid approach. - Alice Marascu; Florent Masseglia (Monde des Util. Anal. Données, 2007)

Extraction d'itemsets compacts. - Bashar Saleh; Florent Masseglia (EGC, 2008)

TED and EVA: Expressing temporal tendencies among quantitative variables using fuzzy sequential patterns. - Céline Fiot; Florent Masseglia; Anne Laurent; Maguelonne Teisseire (FUZZ-IEEE, 2008)

Des séquences aux tendances. - Céline Fiot; Florent Masseglia; Anne Laurent; Maguelonne Teisseire (INFORSID, 2008)

Time Aware Mining of Itemsets. - Bashar Saleh; Florent Masseglia (TIME, 2008)

Web usage mining: extracting unexpected periods from web logs. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire; Alice Marascu (Data Min. Knowl. Discov., 2008)

Editorial: Introduction to the Special Issue on Multimedia Data Mining. - Zhongfei Zhang; Florent Masseglia; Ramesh C. Jain; Alberto Del Bimbo (IEEE Trans. Multim., 2008)

Extraction de connaissances : réunir volumes de données et motifs significatifs. - Florent Masseglia (2009)

SAX: a privacy preserving general pupose methodapplied to detection of intrusions. - François Trousset; Pascal Poncelet; Florent Masseglia (CIKM-PAVLAD, 2009)

Mining Common Outliers for Intrusion Detection. - Goverdhan Singh; Florent Masseglia; Céline Fiot; Alice Marascu; Pascal Poncelet (EGC (best of volume), 2009)

Intrusion Detections in Collaborative Organizations by Preserving Privacy. - Nischal Verma; François Trousset; Pascal Poncelet; Florent Masseglia (EGC (best of volume), 2009)

Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution. - Alice Marascu; Florent Masseglia (EGC, 2009)

Collaborative Outlier Mining for Intrusion Detection. - Goverdhan Singh; Florent Masseglia; Céline Fiot; Alice Marascu; Pascal Poncelet (EGC, 2009)

Détection d'intrusions dans un environnement collaboratif sécurisé. - Nischal Verma; François Trousset; Pascal Poncelet; Florent Masseglia (EGC, 2009)

Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams. - Wei Wang 012; Thomas Guyet; Rene Quiniou; Marie-Odile Cordier; Florent Masseglia (EGC, 2009)

A Multi-resolution Approach for Atypical Behaviour Mining. - Alice Marascu; Florent Masseglia (PAKDD, 2009)

Data Mining for Intrusion Detection: From Outliers to True Intrusions. - Goverdhan Singh; Florent Masseglia; Céline Fiot; Alice Marascu; Pascal Poncelet (PAKDD, 2009)

Parameterless outlier detection in data streams. - Alice Marascu; Florent Masseglia (SAC, 2009)

A general framework for adaptive and online detection of web attacks. - Wei Wang 012; Florent Masseglia; Thomas Guyet; Rene Quiniou; Marie-Odile Cordier (WWW, 2009)

Efficient mining of sequential patterns with time constraints: Reducing the combinations. - Florent Masseglia; Pascal Poncelet; Maguelonne Teisseire (Expert Syst. Appl., 2009)

Evolution patterns and gradual trends. - Céline Fiot; Florent Masseglia; Anne Laurent; Maguelonne Teisseire (Int. J. Intell. Syst., 2009)

Sequential Pattern Mining. - Florent Masseglia; Maguelonne Teisseire; Pascal Poncelet (Encyclopedia of Data Warehousing and Mining, 2009)

Discovering Highly Informative Feature Sets from Data Streams. - Chongsheng Zhang; Florent Masseglia (DEXA (1), 2010)

REGLO : une nouvelle stratégie pour résumer un flux de séries temporelles. - Alice Marascu; Florent Masseglia; Yves Lechevallier (EGC, 2010)

Extraction d'itemsets distinctifs dans les flux de données. - Chongsheng Zhang; Florent Masseglia (EGC, 2010)

ABS: The Anti Bouncing Model for Usage Data Streams. - Chongsheng Zhang; Florent Masseglia; Yves Lechevallier (ICDM, 2010)

Analysing Satellite Image Time Series by Means of Pattern Mining. - François Petitjean; Pierre Gançarski; Florent Masseglia; Germain Forestier (IDEAL, 2010)

A fast approximation strategy for summarizing a set of streaming time series. - Alice Marascu; Florent Masseglia; Yves Lechevallier (SAC, 2010)

Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites. - François Petitjean; Florent Masseglia; Pierre Gançarski (EGC, 2011)

Atypicity detection in data streams: A self-adjusting approach. - Alice Marascu; Florent Masseglia (Intell. Data Anal., 2011)

Discovering Significant Evolution Patterns from Satellite Image Time Series. - François Petitjean; Florent Masseglia; Pierre Gançarski; Germain Forestier (Int. J. Neural Syst., 2011)

Discovering frequent behaviors: time is an essential element of the context. - Bashar Saleh; Florent Masseglia (Knowl. Inf. Syst., 2011)

Discovering Highly Informative Feature Set over High Dimensions. - Chongsheng Zhang; Florent Masseglia; Xiangliang Zhang 001 (ICTAI, 2012)

Modeling and Clustering Users with Evolving Profiles in Usage Streams. - Chongsheng Zhang; Florent Masseglia; Xiangliang Zhang 001 (TIME, 2012)

A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications. - Enikö Székely; Pascal Poncelet; Florent Masseglia; Maguelonne Teisseire; Renaud Cezar (Discovery Science, 2013)

Fast and Exact Mining of Probabilistic Data Streams. - Reza Akbarinia; Florent Masseglia (ECML/PKDD (1), 2013)

Mining frequent itemsets over tuple-evolving data streams. - Chongsheng Zhang; Yuan Hao; Mirjana Mazuran; Carlo Zaniolo; Hamid Mousavi 001; Florent Masseglia (SAC, 2013)

The anti-bouncing data stream model for web usage streams with intralinkings. - Chongsheng Zhang; Florent Masseglia; Yves Lechevallier (Inf. Sci., 2014)

Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks. - Wei Wang 012; Thomas Guyet; René Quiniou; Marie-Odile Cordier; Florent Masseglia; Xiangliang Zhang 001 (Knowl. Based Syst., 2014)

Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments. - Saber Salah; Reza Akbarinia; Florent Masseglia (DEXA (1), 2015)

A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data. - Mehdi Zitouni; Reza Akbarinia; Sadok Ben Yahia; Florent Masseglia (DEXA (1), 2015)

Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data. - Saber Salah; Reza Akbarinia; Florent Masseglia (ICDM, 2015)

Aggregation-Aware Compression of Probabilistic Streaming Time Series. - Reza Akbarinia; Florent Masseglia (MLDM, 2015)

Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce. - Saber Salah; Reza Akbarinia; Florent Masseglia (MLDM, 2015)

Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering. - Tristan Allard; Georges Hébrail; Florent Masseglia; Esther Pacitti (SIGMOD Conference, 2015)

A new privacy-preserving solution for clustering massively distributed personal times-series. - Tristan Allard; Georges Hébrail; Florent Masseglia; Esther Pacitti (ICDE, 2016)

Spatial Sequential Pattern Mining for Seismic Data. - Riccardo Campisano; Fábio Porto 001; Esther Pacitti; Florent Masseglia; Eduardo S. Ogasawara (SBBD, 2016)

Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach. - Mehdi Zitouni; Reza Akbarinia; Sadok Ben Yahia; Florent Masseglia (CAiSE, 2017)

RadiusSketch: Massively Distributed Indexing of Time Series. - Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Dennis E. Shasha (DSAA, 2017)

DPiSAX: Massively Distributed Partitioned iSAX. - Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Themis Palpanas (ICDM, 2017)

A highly scalable parallel algorithm for maximally informative k-itemset mining. - Saber Salah; Reza Akbarinia; Florent Masseglia (Knowl. Inf. Syst., 2017)

Data placement in massively distributed environments for fast parallel mining of frequent itemsets. - Saber Salah; Reza Akbarinia; Florent Masseglia (Knowl. Inf. Syst., 2017)

Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets. - Oleksandra Levchenko; Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Boyan Kolev; Dennis E. Shasha (CIKM, 2018)

Discovering Tight Space-Time Sequences. - Riccardo Campisano; Heraldo Borges; Fábio Porto 001; Fabio Perosi; Esther Pacitti; Florent Masseglia; Eduardo S. Ogasawara (DaWaK, 2018)

Maximally informative k-itemset mining from massively distributed data streams. - Mehdi Zitouni; Reza Akbarinia; Sadok Ben Yahia; Florent Masseglia (SAC, 2018)

Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. - Patrick Valduriez; Marta Mattoso; Reza Akbarinia; Heraldo Borges; José J. Camata; Alvaro L. G. A. Coutinho; Daniel Gaspar; Noel Moreno Lemus; Ji Liu 003; Hermano Lustosa; Florent Masseglia; Fabrício Nogueira da Silva; et al. (LADaS@VLDB, 2018)

A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. - Mohamed Reda Bouadjenek; Esther Pacitti; Maximilien Servajean; Florent Masseglia; Amr El Abbadi (CoRR, 2018)

ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows. - Djamel Edine Yagoubi; Reza Akbarinia; Boyan Kolev; Oleksandra Levchenko; Florent Masseglia; Patrick Valduriez; Dennis E. Shasha (Data Min. Knowl. Discov., 2018)

High Dimensional Data Clustering by means of Distributed Dirichlet Process Mixture Models. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia (IEEE BigData, 2019)

Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities. - Boyan Kolev; Reza Akbarinia; Ricardo Jiménez-Peris; Oleksandra Levchenko; Florent Masseglia; Marta Patiño 001; Patrick Valduriez (CLOSER, 2019)

Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. - Boyan Kolev; Reza Akbarinia; Ricardo Jiménez-Peris; Oleksandra Levchenko; Florent Masseglia; Marta Patiño 001; Patrick Valduriez (DATA, 2019)

Massively Distributed Dirichlet Process Mixture Models. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia (INFORSID, 2019)

Distributed Algorithms to Find Similar Time Series. - Oleksandra Levchenko; Boyan Kolev; Djamel Edine Yagoubi; Dennis E. Shasha; Themis Palpanas; Patrick Valduriez; Reza Akbarinia; Florent Masseglia (ECML/PKDD (3), 2019)

Dirichlet process mixture models made scalable and effective by means of massive distribution. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia (SAC, 2019)

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; Antonin Cois; Martine Courbin; Gérard Giraudon; Saint-Clair Lefèvre; Valérie Letard; Bastien Masse; Florent Masseglia; et al. (CoRR, 2019)

Massively Distributed Clustering via Dirichlet Process Mixture. - Khadidja Meguelati; Benedicte Fontez; Nadine Hilgert; Florent Masseglia; Isabelle Sanchez (ECML/PKDD (5), 2020)

Feedback Clustering for Online Travel Agencies Searches: a Case Study. - Sara Scaramuccia; Simon Nanty; Florent Masseglia (CoRR, 2020)

Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities. - Asma Belhadi; Youcef Djenouri; Kjetil Nørvåg; Heri Ramampiaro; Florent Masseglia; Jerry Chun-Wei Lin (Eng. Appl. Artif. Intell., 2020)

Spatial-time motifs discovery. - Heraldo Borges; Murillo Dutra; Amin Bazaz; Rafaelli Coutinho; Fabio Perosi; Fábio Porto 001; Florent Masseglia; Esther Pacitti; Eduardo S. Ogasawara (Intell. Data Anal., 2020)

Massively Distributed Time Series Indexing and Querying. - Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2020)

BestNeighbor: efficient evaluation of kNN queries on large time series databases. - Oleksandra Levchenko; Boyan Kolev; Djamel Edine Yagoubi; Reza Akbarinia; Florent Masseglia; Themis Palpanas; Dennis E. Shasha; Patrick Valduriez (Knowl. Inf. Syst., 2021)

Anomaly Detection in Time Series. - Heraldo Borges; Reza Akbarinia; Florent Masseglia (Trans. Large Scale Data Knowl. Centered Syst., 2021)

Parallel Techniques for Variable Size Segmentation of Time Series Datasets. - Lamia Djebour; Reza Akbarinia; Florent Masseglia (ADBIS, 2022)

Variable size segmentation for efficient representation and querying of non-uniform time series datasets. - Lamia Djebour; Reza Akbarinia; Florent Masseglia (SAC, 2022)

SoftED: Metrics for Soft Evaluation of Time Series Event Detection. - Rebecca Salles; Janio Lima; Rafaelli Coutinho; Esther Pacitti; Florent Masseglia; Reza Akbarinia; Chao Chen 007; Jonathan M. Garibaldi; Fábio Porto 001; Eduardo S. Ogasawara (CoRR, 2023)

Life Science Workflow Services (LifeSWS): Motivations and Architecture. - Reza Akbarinia; Christophe Botella; Alexis Joly; Florent Masseglia; Marta Mattoso; Eduardo S. Ogasawara; Daniel de Oliveira 001; Esther Pacitti; Fábio Porto 001; Christophe Pradal; Dennis E. Shasha; Patrick Valduriez (Trans. Large Scale Data Knowl. Centered Syst., 2023)

Variable-Size Segmentation for Time Series Representation. - Lamia Djebour; Reza Akbarinia; Florent Masseglia (Trans. Large Scale Data Knowl. Centered Syst., 2023)

kNN matrix profile for knowledge discovery from time series. - Tanmoy Mondal; Reza Akbarinia; Florent Masseglia (Data Min. Knowl. Discov., 2023)

A One-Health Platform for Antimicrobial Resistance Data Analytics. - Benoit Lange; Reza Akbarinia; Florent Masseglia (CIKM, 2024)

SoftED: Metrics for soft evaluation of time series event detection. - Rebecca Salles; Janio Lima; Michel Reis; Rafaelli Coutinho; Esther Pacitti; Florent Masseglia; Reza Akbarinia; Chao Chen 007; Jonathan M. Garibaldi; Fábio Porto 001; Eduardo S. Ogasawara (Comput. Ind. Eng., 2024)

Scalable and accurate online multivariate anomaly detection. - Rebecca Salles; Benoit Lange; Reza Akbarinia; Florent Masseglia; Eduardo S. Ogasawara; Esther Pacitti (Inf. Syst., 2025)