Florent Masseglia

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

kNN matrix profile for knowledge discovery from time series.

[BibT_eX]

[DOI]

Tanmoy Mondal

Data Min. Knowl. Discov., May, 2023

Variable-Size Segmentation for Time Series Representation.

[BibT_eX]

[DOI]

Lamia Djebour

Trans. Large Scale Data Knowl. Centered Syst., 2023

Life Science Workflow Services (LifeSWS): Motivations and Architecture.

[BibT_eX]

[DOI]

Trans. Large Scale Data Knowl. Centered Syst., 2023

SoftED: Metrics for Soft Evaluation of Time Series Event Detection.

[BibT_eX]

[DOI]

Jonathan M. Garibaldi

Fábio Porto

Eduardo S. Ogasawara

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

Lamia Djebour

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Parallel Techniques for Variable Size Segmentation of Time Series Datasets.

[BibT_eX]

[DOI]

Lamia Djebour

Proceedings of the Advances in Databases and Information Systems, 2022

2021

Anomaly Detection in Time Series.

[BibT_eX]

[DOI]

Heraldo Borges

Trans. Large Scale Data Knowl. Centered Syst., 2021

BestNeighbor: efficient evaluation of kNN queries on large time series databases.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

2020

Massively Distributed Time Series Indexing and Querying.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Spatial-time motifs discovery.

[BibT_eX]

[DOI]

Intell. Data Anal., 2020

Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Feedback Clustering for Online Travel Agencies Searches: a Case Study.

[BibT_eX]

[DOI]

Sara Scaramuccia

Simon Nanty

CoRR, 2020

Massively Distributed Clustering via Dirichlet Process Mixture.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

2019

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

[BibT_eX]

[DOI]

Corinne Atlan

Jean-Pierre Archambault

Sophie de Quatrebarbes

Margarida Romero

Didier Roy

Thierry Viéville

CoRR, 2019

Dirichlet process mixture models made scalable and effective by means of massive distribution.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Distributed Algorithms to Find Similar Time Series.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Massively Distributed Dirichlet Process Mixture Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Boyan Kolev

Ricardo Jiménez-Peris

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.

[BibT_eX]

[DOI]

Boyan Kolev

Ricardo Jiménez-Peris

Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources.

[BibT_eX]

[DOI]

Mohamed Reda Bouadjenek

CoRR, 2018

Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Discovering Tight Space-Time Sequences.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

A highly scalable parallel algorithm for maximally informative k-itemset mining.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

DPiSAX: Massively Distributed Partitioned iSAX.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

RadiusSketch: Massively Distributed Indexing of Time Series.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach.

[BibT_eX]

[DOI]

Proceedings of the Advanced Information Systems Engineering, 2017

2016

Spatial Sequential Pattern Mining for Seismic Data.

[BibT_eX]

[DOI]

Proceedings of the 31º Simpósio Brasileiro de Banco de Dados, 2016

A new privacy-preserving solution for clustering massively distributed personal times-series.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Aggregation-Aware Compression of Probabilistic Streaming Time Series.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2015

2014

Autonomic intrusion detection: Adaptively detecting anomalies over unlabeled audit data streams in computer networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

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

[BibT_eX]

[DOI]

Inf. Sci., 2014

2013

Mining frequent itemsets over tuple-evolving data streams.

[BibT_eX]

[DOI]

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Fast and Exact Mining of Probabilistic Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

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

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 16th International Conference, 2013

2012

Modeling and Clustering Users with Evolving Profiles in Usage Streams.

[BibT_eX]

[DOI]

Xiangliang Zhang

Proceedings of the 19th International Symposium on Temporal Representation and Reasoning, 2012

Discovering Highly Informative Feature Set over High Dimensions.

[BibT_eX]

[DOI]

Xiangliang Zhang

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.

[BibT_eX]

[DOI]

Bashar Saleh

Knowl. Inf. Syst., 2011

Discovering Significant Evolution Patterns from Satellite Image Time Series.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2011

Atypicity detection in data streams: A self-adjusting approach.

[BibT_eX]

[DOI]

Intell. Data Anal., 2011

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

[BibT_eX]

[DOI]

François Petitjean

Pierre Gançarski

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

A fast approximation strategy for summarizing a set of streaming time series.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Analysing Satellite Image Time Series by Means of Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

ABS: The Anti Bouncing Model for Usage Data Streams.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Extraction d'itemsets distinctifs dans les flux de données.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

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

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Discovering Highly Informative Feature Sets from Data Streams.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

2009

Sequential Pattern Mining.

[BibT_eX]

[DOI]

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

Evolution patterns and gradual trends.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2009

Efficient mining of sequential patterns with time constraints: Reducing the combinations.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2009

A general framework for adaptive and online detection of web attacks.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on World Wide Web, 2009

Parameterless outlier detection in data streams.

[BibT_eX]

[DOI]

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Data Mining for Intrusion Detection: From Outliers to True Intrusions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

A Multi-resolution Approach for Atypical Behaviour Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

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

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Détection d'intrusions dans un environnement collaboratif sécurisé.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Collaborative Outlier Mining for Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

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

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Intrusion Detections in Collaborative Organizations by Preserving Privacy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

Mining Common Outliers for Intrusion Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

François Trousset

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.

[BibT_eX]

[DOI]

, 2009

2008

Editorial: Introduction to the Special Issue on Multimedia Data Mining.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2008

Web usage mining: extracting unexpected periods from web logs.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2008

Time Aware Mining of Itemsets.

[BibT_eX]

[DOI]

Bashar Saleh

Proceedings of the 15th International Symposium on Temporal Representation and Reasoning, 2008

Des séquences aux tendances.

[BibT_eX]

Proceedings of the Actes du XXVIème Congrès INFORSID, 2008

TED and EVA: Expressing temporal tendencies among quantitative variables using fuzzy sequential patterns.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2008, 2008

Extraction d'itemsets compacts.

[BibT_eX]

[DOI]

Bashar Saleh

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007

Mining sequential patterns from data streams: a centroid approach.

[BibT_eX]

[DOI]

Monde des Util. Anal. Données, 2007

2006

KDD/MDM 2006: The 7<sup>th</sup> KDD Multimedia Data Mining workshop report.

[BibT_eX]

[DOI]

SIGKDD Explor., 2006

Notes de lecture : Fouille de Données Complexes.

[BibT_eX]

[DOI]

Monde des Util. Anal. Données, 2006

GWUM : une généralisation des pages Web guidée par les usages.

[BibT_eX]

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.

[BibT_eX]

Proceedings of the Actes du XXIVème Congrès INFORSID, Hammamet, Tunisie, 31 mai, 2006

Web Usage Mining : extraction de périodes denses à partir des logs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Extraction de motifs séquentiels dans les flots de données d'usage du Web.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Peer-to-Peer Usage Analysis: a Distributed Mining Approach.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Fatma Bouali

Latifur Khan

SIGKDD Explor., 2005

Sequential Pattern Mining for Structure-Based XML Document Classification.

[BibT_eX]

[DOI]

Calin Garboni

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.

[BibT_eX]

[DOI]

Ingénierie des Systèmes d Inf., 2004

Extraction de motifs séquentiels. Problèmes et méthodes.

[BibT_eX]

[DOI]

Ingénierie des Systèmes d Inf., 2004

Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

Web Usage Mining: Sequential Pattern Extraction with a Very Low Support.

[BibT_eX]

[DOI]

Proceedings of the Advanced Web Technologies and Applications, 2004

2003

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

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2003

Incremental mining of sequential patterns in large databases.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2003

2002

Real Time Web Usage Mining with a Distributed Navigation Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Proceedings of the Extraction et gestion des connaissances (EGC'2002), 2002

2001

Real-Time Web Usage Mining: A Heuristic Based Distributed Miner.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Proceedings of the 17èmes Journées Bases de Données Avancées, 2001

2000

Web Usage Mining: How to Efficiently Manage New Transactions and New Clients.

[BibT_eX]

[DOI]

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Schema Mining: Finding Structural Regularity among Semistructured Data.

[BibT_eX]

[DOI]

Pierre-Alain Laur

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

A General Architecture for Finding Structural Regularities on the Web.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Methodology, 2000

1999

Using data mining techniques on Web access logs to dynamically improve hypertext structure.

[BibT_eX]

[DOI]

SIGWEB Newsl., 1999

Webtool: un environnement intégré de data mining.

[BibT_eX]

Rosine Cicchetti

Proceedings of the Actes du XVIIème Congrès INFORSID, La Garde, France, 1-4 juin, 1999, 1999

WebTool: An Integrated Framework for Data Mining.

[BibT_eX]

[DOI]

Rosine Cicchetti

Proceedings of the Database and Expert Systems Applications, 10th International Conference, 1999

Extraction efficace de motifs séquentiels : le prétraitement des données.

[BibT_eX]

Proceedings of the 15èmes Journées Bases de Données Avancées, 1999

1998

The PSP Approach for Mining Sequential Patterns.

[BibT_eX]

[DOI]

Fabienne Cathala