Florent Masseglia

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2011
60Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites. François Petitjean, Florent Masseglia, Pierre Gançarski. EGC 2011, 665-676. Web SearchBibTeX
59Atypicity detection in data streams: A self-adjusting approach. Alice Marascu, Florent Masseglia. Intell. Data Anal. (15): 89-105 (2011). Web SearchBibTeXDownload
58Discovering Significant Evolution Patterns from Satellite Image Time Series. François Petitjean, Florent Masseglia, Pierre Gançarski, Germain Forestier. Int. J. Neural Syst. (21): 475-489 (2011). Web SearchBibTeXDownload
57Discovering frequent behaviors: time is an essential element of the context. Bashar Saleh, Florent Masseglia. Knowl. Inf. Syst. (28): 311-331 (2011). Web SearchBibTeXDownload
2010
56Discovering Highly Informative Feature Sets from Data Streams. Chongsheng Zhang, Florent Masseglia. DEXA (1) 2010, 91-104. Web SearchBibTeXDownload
55REGLO : une nouvelle stratégie pour résumer un flux de séries temporelles. Alice Marascu, Florent Masseglia, Yves Lechevallier. EGC 2010, 217-228. Web SearchBibTeX
54Extraction d'itemsets distinctifs dans les flux de données. Chongsheng Zhang, Florent Masseglia. EGC 2010, 187-198. Web SearchBibTeX
53ABS: The Anti Bouncing Model for Usage Data Streams. Chongsheng Zhang, Florent Masseglia, Yves Lechevallier. ICDM 2010, 1169-1174. Web SearchBibTeXDownload
52Analysing Satellite Image Time Series by Means of Pattern Mining. François Petitjean, Pierre Gançarski, Florent Masseglia, Germain Forestier. IDEAL 2010, 45-52. Web SearchBibTeXDownload
51A fast approximation strategy for summarizing a set of streaming time series. Alice Marascu, Florent Masseglia, Yves Lechevallier. SAC 2010, 1617-1621. Web SearchBibTeXDownload
2009
50SAX: a privacy preserving general pupose methodapplied to detection of intrusions. François Trousset, Pascal Poncelet, Florent Masseglia. CIKM-PAVLAD 2009, 17-24. Web SearchBibTeXDownload
49Collaborative Outlier Mining for Intrusion Detection. Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet. EGC 2009, 313-324. Web SearchBibTeX
48Online and adaptive anomaly Detection: detecting intrusions in unlabelled audit data streams. Wei Wang, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier, Florent Masseglia. EGC 2009, 457-458. Web SearchBibTeX
47Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution. Alice Marascu, Florent Masseglia. EGC 2009, 455-456. Web SearchBibTeX
46Détection d'intrusions dans un environnement collaboratif sécurisé. Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia. EGC 2009, 301-312. Web SearchBibTeX
45Intrusion Detections in Collaborative Organizations by Preserving Privacy. Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia. EGC (best of volume) 2009, 235-247. Web SearchBibTeXDownload
44Mining Common Outliers for Intrusion Detection. Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet. EGC (best of volume) 2009, 217-234. Web SearchBibTeXDownload
43Sequential Pattern Mining. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. Encyclopedia of Data Warehousing and Mining 2009, 1800-1805. Web SearchBibTeXDownload
42Efficient mining of sequential patterns with time constraints: Reducing the combinations. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Expert Syst. Appl. (36): 2677-2690 (2009). Web SearchBibTeXDownload
41Evolution patterns and gradual trends. Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire. Int. J. Intell. Syst. (24): 1013-1038 (2009). Web SearchBibTeXDownload
40Data Mining for Intrusion Detection: From Outliers to True Intrusions. Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet. PAKDD 2009, 891-898. Web SearchBibTeXDownload
39A Multi-resolution Approach for Atypical Behaviour Mining. Alice Marascu, Florent Masseglia. PAKDD 2009, 899-906. Web SearchBibTeXDownload
38Parameterless outlier detection in data streams. Alice Marascu, Florent Masseglia. SAC 2009, 1491-1495. Web SearchBibTeXDownload
37A general framework for adaptive and online detection of web attacks. Wei Wang, Florent Masseglia, Thomas Guyet, Rene Quiniou, Marie-Odile Cordier. WWW 2009, 1141-1142. Web SearchBibTeXDownload
2008
36Web usage mining: extracting unexpected periods from web logs. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu. Data Min. Knowl. Discov. (16): 39-65 (2008). Web SearchBibTeXDownload
35Extraction d’itemsets compacts. Bashar Saleh, Florent Masseglia. EGC 2008, 409-414. Web SearchBibTeX
34TED and EVA: Expressing temporal tendencies among quantitative variables using fuzzy sequential patterns. Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire. FUZZ-IEEE 2008, 1861-1868. Web SearchBibTeXDownload
33Editorial: Introduction to the Special Issue on Multimedia Data Mining. Zhongfei Zhang, Florent Masseglia, Ramesh Jain, Alberto Del Bimbo. IEEE Transactions on Multimedia (10): 165-166 (2008). Web SearchBibTeXDownload
32Des séquences aux tendances. Céline Fiot, Florent Masseglia, Anne Laurent, Maguelonne Teisseire. INFORSID 2008. Web SearchBibTeX
31Time Aware Mining of Itemsets. Bashar Saleh, Florent Masseglia. TIME 2008, 93-97. Web SearchBibTeXDownload
2006
30Peer-to-Peer Usage Analysis: a Distributed Mining Approach. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. AINA (1) 2006, 993-998. Web SearchBibTeXDownload
29Extraction de motifs séquentiels dans les flots de données d'usage du Web. Alice Marascu, Florent Masseglia. EGC 2006, 627-638. Web SearchBibTeX
28Web Usage Mining : extraction de périodes denses à partir des logs. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu. EGC 2006, 403-408. Web SearchBibTeX
27Fouille de données dans les systèmes Pair-à-Pair pour améliorer la recherche de ressources. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. EGC 2006, 469-474. Web SearchBibTeX
26GWUM : une généralisation des pages Web guidée par les usages. Doru Tanasa, Florent Masseglia, Brigitte Trousse. INFORSID 2006, 783-798. Web SearchBibTeX
25Une approche centroïde pour la classification de séquences dans les data streams. Alice Marascu, Florent Masseglia. INFORSID 2006, 751-765. Web SearchBibTeX
24Mining sequential patterns from data streams: a centroid approach. Alice Marascu, Florent Masseglia. J. Intell. Inf. Syst. (27): 291-307 (2006). Web SearchBibTeXDownload
23KDD/MDM 2006: The 7th KDD Multimedia Data Mining workshop report. Zhongfei Zhang, Florent Masseglia, Ramesh Jain, Alberto Del Bimbo. SIGKDD Explorations (8): 92-95 (2006). Web SearchBibTeXDownload
2005
22Sequential Pattern Mining for Structure-Based XML Document Classification. Calin Garboni, Florent Masseglia, Brigitte Trousse. INEX 2005, 458-468. Web SearchBibTeXDownload
21The 6th international workshop on Multimedia Data Mining (MDM/KDD2005). Fatma Bouali, Latifur Khan, Florent Masseglia. SIGKDD Explorations (7): 148-150 (2005). Web SearchBibTeXDownload
2004
20Web Usage Mining: Sequential Pattern Extraction with a Very Low Support. Florent Masseglia, Doru Tanasa, Brigitte Trousse. APWeb 2004, 513-522. Web SearchBibTeXDownload
19Classer 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, 549-560. Web SearchBibTeX
18Extraction de motifs séquentiels. Problèmes et méthodes. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. Ingénierie des Systèmes d'Information (9): 183-210 (2004). Web SearchBibTeX
17Diviser 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'Information (9): 61-83 (2004). Web SearchBibTeX
16Pre-Processing Time Constraints for Efficiently Mining Generalized Sequential Patterns. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. TIME 2004, 87-95. Web SearchBibTeXDownload
2003
15Diviser pour Découvrir : une Méthode d'Analyse du Comportement de Tous les Utilisateurs d'un Site Web. Florent Masseglia, Doru Tanasa, Brigitte Trousse. BDA 2003. Web SearchBibTeX
14Incremental mining of sequential patterns in large databases. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Data Knowl. Eng. (46): 97-121 (2003). Web SearchBibTeXDownload
13HDM: A Client/Server/Engine Architecture for Real-Time Web Usage Mining. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. Knowl. Inf. Syst. (5): 439-465 (2003). Web SearchBibTeXDownload
2002
12HDM, un module de fouille de données distribué et temps réel. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. EGC 2002, 393-398. Web SearchBibTeX
11Real Time Web Usage Mining with a Distributed Navigation Analysis. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. RIDE 2002, 169. Web SearchBibTeXDownload
2001
10Web Usage Mining Inter-Sites: Analyse du comportement des utilisateurs à impact immédiat. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. BDA 2001. Web SearchBibTeX
9Real-Time Web Usage Mining: A Heuristic Based Distributed Miner. Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet. WISE (1) 2001, 288. Web SearchBibTeXDownload
2000
8A General Architecture for Finding Structural Regularities on the Web. Pierre-Alain Laur, Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. AIMSA 2000, 179-188. Web SearchBibTeXDownload
7Incremental Mining of Sequential Patterns in Large Databases. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. BDA 2000. Web SearchBibTeX
6Schema Mining: Finding Structural Regularity among Semistructured Data. Pierre-Alain Laur, Florent Masseglia, Pascal Poncelet. PKDD 2000, 498-503. Web SearchBibTeXDownload
5Web Usage Mining: How to Efficiently Manage New Transactions and New Clients. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. PKDD 2000, 530-535. Web SearchBibTeXDownload
1999
4WebTool: An Integrated Framework for Data Mining. Florent Masseglia, Pascal Poncelet, Rosine Cicchetti. DEXA 1999, 892-901. Web SearchBibTeXDownload
3Webtool: un environnement intégré de data mining. Florent Masseglia, Pascal Poncelet, Rosine Cicchetti. INFORSID 1999, 393-411. Web SearchBibTeX
2Extraction efficace de motifs séquentiels : le prétraitement des données. Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire. Proc. 15èmes Journées Bases de Données Avancées, BDA 1999, 341-360. Web SearchBibTeX
1998
1The PSP Approach for Mining Sequential Patterns. Florent Masseglia, Fabienne Cathala, Pascal Poncelet. PKDD 1998, 176-184. Web SearchBibTeXDownload
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