Florent Masseglia

According to our database1, Florent Masseglia authored at least 93 papers between 1998 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
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

Dirichlet process mixture models made scalable and effective by means of massive distribution.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Massively Distributed Dirichlet Process Mixture Models.
Proceedings of the Actes du XXXVIIème Congrès INFORSID, Paris, France, June 11-14, 2019., 2019

Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows.
Proceedings of the 8th International Conference on Data Science, 2019

Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities.
Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

2018
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows.
Data Min. Knowl. Discov., 2018

A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources.
CoRR, 2018

Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.
Proceedings of the Latin America Data Science Workshop co-located with 44th International Conference on Very Large Data Bases (VLDB 2018), 2018

Maximally informative k-itemset mining from massively distributed data streams.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Discovering Tight Space-Time Sequences.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Data placement in massively distributed environments for fast parallel mining of frequent itemsets.
Knowl. Inf. Syst., 2017

A highly scalable parallel algorithm for maximally informative k-itemset mining.
Knowl. Inf. Syst., 2017

DPiSAX: Massively Distributed Partitioned iSAX.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

RadiusSketch: Massively Distributed Indexing of Time Series.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach.
Proceedings of the Advanced Information Systems Engineering, 2017

2016
Spatial Sequential Pattern Mining for Seismic Data.
Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016

A new privacy-preserving solution for clustering massively distributed personal times-series.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Aggregation-Aware Compression of Probabilistic Streaming Time Series.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data.
Proceedings of the Database and Expert Systems Applications, 2015

Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments.
Proceedings of the Database and Expert Systems Applications, 2015

2014
Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks.
Knowl.-Based Syst., 2014

The anti-bouncing data stream model for web usage streams with intralinkings.
Inf. Sci., 2014

2013
Mining frequent itemsets over tuple-evolving data streams.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Fast and Exact Mining of Probabilistic Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications.
Proceedings of the Discovery Science - 16th International Conference, 2013

2012
Modeling and Clustering Users with Evolving Profiles in Usage Streams.
Proceedings of the 19th International Symposium on Temporal Representation and Reasoning, 2012

Discovering Highly Informative Feature Set over High Dimensions.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Discovering frequent behaviors: time is an essential element of the context.
Knowl. Inf. Syst., 2011

Discovering Significant Evolution Patterns from Satellite Image Time Series.
Int. J. Neural Syst., 2011

Atypicity detection in data streams: A self-adjusting approach.
Intell. Data Anal., 2011

Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010
A fast approximation strategy for summarizing a set of streaming time series.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Analysing Satellite Image Time Series by Means of Pattern Mining.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

ABS: The Anti Bouncing Model for Usage Data Streams.
Proceedings of the ICDM 2010, 2010

Extraction d'itemsets distinctifs dans les flux de données.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

REGLO : une nouvelle stratégie pour résumer un flux de séries temporelles.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Discovering Highly Informative Feature Sets from Data Streams.
Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

2009
Sequential Pattern Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Evolution patterns and gradual trends.
Int. J. Intell. Syst., 2009

Efficient mining of sequential patterns with time constraints: Reducing the combinations.
Expert Syst. Appl., 2009

A general framework for adaptive and online detection of web attacks.
Proceedings of the 18th International Conference on World Wide Web, 2009

Parameterless outlier detection in data streams.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Data Mining for Intrusion Detection: From Outliers to True Intrusions.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

A Multi-resolution Approach for Atypical Behaviour Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Détection d'intrusions dans un environnement collaboratif sécurisé.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Collaborative Outlier Mining for Intrusion Detection.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Intrusion Detections in Collaborative Organizations by Preserving Privacy.
Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

Mining Common Outliers for Intrusion Detection.
Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

SAX: a privacy preserving general pupose methodapplied to detection of intrusions.
Proceedings of the Proceeding of the ACM First International Workshop on Privacy and Anonymity for Very Large Databases, 2009

Extraction de connaissances : réunir volumes de données et motifs significatifs.
, 2009

2008
Editorial: Introduction to the Special Issue on Multimedia Data Mining.
IEEE Trans. Multimedia, 2008

Web usage mining: extracting unexpected periods from web logs.
Data Min. Knowl. Discov., 2008

Time Aware Mining of Itemsets.
Proceedings of the 15th International Symposium on Temporal Representation and Reasoning, 2008

Des séquences aux tendances.
Proceedings of the Actes du XXVIème Congrès INFORSID, 2008

TED and EVA: Expressing temporal tendencies among quantitative variables using fuzzy sequential patterns.
Proceedings of the FUZZ-IEEE 2008, 2008

Extraction d'itemsets compacts.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2006
KDD/MDM 2006: The 7th KDD Multimedia Data Mining workshop report.
SIGKDD Explorations, 2006

Mining sequential patterns from data streams: a centroid approach.
J. Intell. Inf. Syst., 2006

GWUM : une généralisation des pages Web guidée par les usages.
Proceedings of the Actes du XXIVème Congrès INFORSID, Hammamet, Tunisie, 31 mai, 2006

Une approche centroïde pour la classification de séquences dans les data streams.
Proceedings of the Actes du XXIVème Congrès INFORSID, Hammamet, Tunisie, 31 mai, 2006

Web Usage Mining : extraction de périodes denses à partir des logs.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Fouille de données dans les systèmes Pair-à-Pair pour améliorer la recherche de ressources.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Extraction de motifs séquentiels dans les flots de données d'usage du Web.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Peer-to-Peer Usage Analysis: a Distributed Mining Approach.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2005
The 6th international workshop on Multimedia Data Mining (MDM/KDD2005).
SIGKDD Explorations, 2005

Sequential Pattern Mining for Structure-Based XML Document Classification.
Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

2004
Diviser pour découvrir. Une méthode d'analyse du comportement de tous les utilisateurs d'un site web.
Ingénierie des Systèmes d'Information, 2004

Extraction de motifs séquentiels. Problèmes et méthodes.
Ingénierie des Systèmes d'Information, 2004

Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns.
Proceedings of the 11th International Symposium on Temporal Representation and Reasoning (TIME 2004), 2004

Classer pour découvrir : une nouvelle méthode d'analyse du comportement de tous les utilisateurs d'un site web.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Web Usage Mining: Sequential Pattern Extraction with a Very Low Support.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
HDM: A Client/Server/Engine Architecture for Real-Time Web Usage Mining.
Knowl. Inf. Syst., 2003

Incremental mining of sequential patterns in large databases.
Data Knowl. Eng., 2003

Diviser pour Découvrir : une Méthode d'Analyse du Comportement de Tous les Utilisateurs d'un Site Web.
Proceedings of the 19èmes Journées Bases de Données Avancées, 2003

2002
Real Time Web Usage Mining with a Distributed Navigation Analysis.
Proceedings of the 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems, 2002

HDM, un module de fouille de données distribué et temps réel.
Proceedings of the Extraction et gestion des connaissances (EGC'2002), 2002

2001
Real-Time Web Usage Mining: A Heuristic Based Distributed Miner.
Proceedings of the 2nd International Conference on Web Information Systems Engineering, 2001

Web Usage Mining Inter-Sites: Analyse du comportement des utilisateurs à impact immédiat.
Proceedings of the 17èmes Journées Bases de Données Avancées, 2001

2000
Web Usage Mining: How to Efficiently Manage New Transactions and New Clients.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Schema Mining: Finding Structural Regularity among Semistructured Data.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Incremental Mining of Sequential Patterns in Large Databases.
Proceedings of the 16èmes Journées Bases de Données Avancées, 2000

A General Architecture for Finding Structural Regularities on the Web.
Proceedings of the Artificial Intelligence: Methodology, 2000

1999
Using data mining techniques on Web access logs to dynamically improve hypertext structure.
SIGWEB Newsletter, 1999

Webtool: un environnement intégré de data mining.
Proceedings of the Actes du XVIIème Congrès INFORSID, La Garde, France, 1-4 juin, 1999, 1999

WebTool: An Integrated Framework for Data Mining.
Proceedings of the Database and Expert Systems Applications, 10th International Conference, 1999

Extraction efficace de motifs séquentiels : le prétraitement des données.
Proceedings of the 15èmes Journées Bases de Données Avancées, 1999

1998
The PSP Approach for Mining Sequential Patterns.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998


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