Florent Masseglia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
23
Active years
1999–2026
Best venue rank
A*
Where they publish
- MulticonferenceSAC6 papers
- CDEXA5 papers
- ACIKM4 papers
- A*ICDM3 papers
- CTIME3 papers
- BPAKDD2 papers
- CADBIS1 paper
- CCLOSER1 paper
- CDATA1 paper
- BDaWaK1 paper
- A*VLDB1 paper
- ACaiSE1 paper
- BDSAA1 paper
- A*ICDE1 paper
- A*SIGMOD1 paper
- ADIS1 paper
- BICTAI1 paper
- CIDEAL1 paper
- A*WWW1 paper
- BAINA1 paper
- CAPWEB1 paper
- BWISE1 paper
- NationalAIMSA1 paper
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DEXA | Efficient Detection of Seasonal Bursts: Applications to Climate Time Series. | Guillaume Coulaud, Audrey Brouillet, Reza Akbarinia, Florent Masseglia, Dennis Shasha |
| 2025 | CIKM | ClimBurst: A Dynamic Visualization Tool to Display Climatological Anomalies over Time and Space. | Guillaume Coulaud, Benoit Lange, Dennis Shasha, Audrey Brouillet, Reza Akbarinia, Florent Masseglia |
| 2024 | CIKM | A One-Health Platform for Antimicrobial Resistance Data Analytics. | Benoit Lange, Reza Akbarinia, Florent Masseglia |
| 2022 | ADBIS | Parallel Techniques for Variable Size Segmentation of Time Series Datasets. | Lamia Djebour, Reza Akbarinia, Florent Masseglia |
| 2022 | SAC | Variable size segmentation for efficient representation and querying of non-uniform time series datasets. | Lamia Djebour, Reza Akbarinia, Florent Masseglia |
| 2019 | CLOSER | Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities. | Boyan Kolev, Reza Akbarinia, Ricardo Jimnez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patio, Patrick Valduriez |
| 2019 | DATA | Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows. | Boyan Kolev, Reza Akbarinia, Ricardo Jimnez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patio, Patrick Valduriez |
| 2019 | SAC | Dirichlet process mixture models made scalable and effective by means of massive distribution. | Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia |
| 2018 | CIKM | Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets. | Oleksandra Levchenko, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis E. Shasha |
| 2018 | DaWaK | Discovering Tight Space-Time Sequences. | Riccardo Campisano, Heraldo Borges, Fbio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo S. Ogasawara |
| 2018 | SAC | Maximally informative k-itemset mining from massively distributed data streams. | Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia |
| 2018 | VLDB | Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project. | Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, Jos J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrcio Nogueira da Silva, Vtor Silva, Renan Souza, Kary A. C. S. Ocaa, Eduardo S. Ogasawara, Daniel de Oliveira, Esther Pacitti, Fbio Porto, Dennis E. Shasha |
| 2017 | CaiSE | Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach. | Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia |
| 2017 | DSAA | RadiusSketch: Massively Distributed Indexing of Time Series. | Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis E. Shasha |
| 2017 | ICDM | DPiSAX: Massively Distributed Partitioned iSAX. | Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas |
| 2016 | ICDE | A new privacy-preserving solution for clustering massively distributed personal times-series. | Tristan Allard, Georges Hbrail, Florent Masseglia, Esther Pacitti |
| 2015 | DEXA | Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments. | Saber Salah, Reza Akbarinia, Florent Masseglia |
| 2015 | DEXA | A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data. | Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia |
| 2015 | ICDM | Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data. | Saber Salah, Reza Akbarinia, Florent Masseglia |
| 2015 | SIGMOD | Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering. | Tristan Allard, Georges Hbrail, Florent Masseglia, Esther Pacitti |
| 2013 | DIS | A Density-Based Backward Approach to Isolate Rare Events in Large-Scale Applications. | Enik Szkely, Pascal Poncelet, Florent Masseglia, Maguelonne Teisseire, Renaud Cezar |
| 2013 | SAC | Mining frequent itemsets over tuple-evolving data streams. | Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia |
| 2012 | ICTAI | Discovering Highly Informative Feature Set over High Dimensions. | Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang |
| 2012 | TIME | Modeling and Clustering Users with Evolving Profiles in Usage Streams. | Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang |
| 2010 | DEXA | Discovering Highly Informative Feature Sets from Data Streams. | Chongsheng Zhang, Florent Masseglia |
| 2010 | ICDM | ABS: The Anti Bouncing Model for Usage Data Streams. | Chongsheng Zhang, Florent Masseglia, Yves Lechevallier |
| 2010 | IDEAL | Analysing Satellite Image Time Series by Means of Pattern Mining. | Franois Petitjean, Pierre Ganarski, Florent Masseglia, Germain Forestier |
| 2010 | SAC | A fast approximation strategy for summarizing a set of streaming time series. | Alice Marascu, Florent Masseglia, Yves Lechevallier |
| 2009 | CIKM | SAX: a privacy preserving general pupose methodapplied to detection of intrusions. | Franois Trousset, Pascal Poncelet, Florent Masseglia |
| 2009 | PAKDD | A Multi-resolution Approach for Atypical Behaviour Mining. | Alice Marascu, Florent Masseglia |
| 2009 | PAKDD | Data Mining for Intrusion Detection: From Outliers to True Intrusions. | Goverdhan Singh, Florent Masseglia, Cline Fiot, Alice Marascu, Pascal Poncelet |
| 2009 | WWW | A general framework for adaptive and online detection of web attacks. | Wei Wang, Florent Masseglia, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier |
| 2009 | SAC | Parameterless outlier detection in data streams. | Alice Marascu, Florent Masseglia |
| 2008 | TIME | Time Aware Mining of Itemsets. | Bashar Saleh, Florent Masseglia |
| 2006 | AINA | Peer-to-Peer Usage Analysis: a Distributed Mining Approach. | Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire |
| 2004 | APWEB | Web Usage Mining: Sequential Pattern Extraction with a Very Low Support. | Florent Masseglia, Doru Tanasa, Brigitte Trousse |
| 2004 | TIME | Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. | Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire |
| 2001 | WISE | Real-Time Web Usage Mining: A Heuristic Based Distributed Miner. | Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet |
| 2000 | AIMSA | A General Architecture for Finding Structural Regularities on the Web. | Pierre-Alain Laur, Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire |
| 1999 | DEXA | WebTool: An Integrated Framework for Data Mining. | Florent Masseglia, Pascal Poncelet, Rosine Cicchetti |