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Alice Marascu
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2010 – 2019
- 2019
- [e1]Ulf Brefeld, Edward Curry
, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11053, Springer 2019, ISBN 978-3-030-10996-7 [contents] - 2016
- [j6]Davide Mottin
, Alice Marascu, Senjuti Basu Roy, Gautam Das
, Themis Palpanas, Yannis Velegrakis
:
A holistic and principled approach for the empty-answer problem. VLDB J. 25(4): 597-622 (2016) - 2014
- [c15]Alice Marascu, Pascal Pompey, Eric Bouillet, Michael Wurst, Olivier Verscheure, Martin Grund, Philippe Cudré-Mauroux
:
TRISTAN: Real-time analytics on massive time series using sparse dictionary compression. IEEE BigData 2014: 291-300 - [c14]Davide Mottin
, Alice Marascu, Senjuti Basu Roy, Gautam Das
, Themis Palpanas, Yannis Velegrakis
:
IQR: an interactive query relaxation system for the empty-answer problem. SIGMOD Conference 2014: 1095-1098 - 2013
- [j5]Davide Mottin
, Alice Marascu, Senjuti Basu Roy, Gautam Das
, Themis Palpanas, Yannis Velegrakis
:
A Probabilistic Optimization Framework for the Empty-Answer Problem. Proc. VLDB Endow. 6(14): 1762-1773 (2013) - [c13]Alice Marascu, Pascal Pompey, Eric Bouillet, Olivier Verscheure, Michael Wurst, Martin Grund, Philippe Cudré-Mauroux
:
MiSTRAL: An architecture for low-latency analytics on MasSive time series. IEEE BigData 2013: 15-21 - 2012
- [c12]Alice Marascu, Suleiman A. Khan, Themis Palpanas:
Scalable Similarity Matching in Streaming Time Series. PAKDD (2) 2012: 218-230 - 2011
- [j4]Alice Marascu, Florent Masseglia:
Atypicity detection in data streams: A self-adjusting approach. Intell. Data Anal. 15(1): 89-105 (2011) - 2010
- [c11]Alice Marascu, Florent Masseglia, Yves Lechevallier:
REGLO : une nouvelle stratégie pour résumer un flux de séries temporelles. EGC 2010: 217-228 - [c10]Alice Marascu, Florent Masseglia, Yves Lechevallier:
A fast approximation strategy for summarizing a set of streaming time series. SAC 2010: 1617-1621
2000 – 2009
- 2009
- [b1]Alice Marascu:
Extraction de motifs séquentiels dans les flux de données. (Sequential patterns mining from data streams). University of Nice Sophia Antipolis, France, 2009 - [c9]Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
:
Mining Common Outliers for Intrusion Detection. EGC (best of volume) 2009: 217-234 - [c8]Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet:
Collaborative Outlier Mining for Intrusion Detection. EGC 2009: 313-324 - [c7]Alice Marascu, Florent Masseglia:
Détection d'enregistrements atypiques dans un flot de données: une approche multi-résolution. EGC 2009: 455-456 - [c6]Goverdhan Singh, Florent Masseglia, Céline Fiot, Alice Marascu, Pascal Poncelet
:
Data Mining for Intrusion Detection: From Outliers to True Intrusions. PAKDD 2009: 891-898 - [c5]Alice Marascu, Florent Masseglia:
A Multi-resolution Approach for Atypical Behaviour Mining. PAKDD 2009: 899-906 - [c4]Alice Marascu, Florent Masseglia:
Parameterless outlier detection in data streams. SAC 2009: 1491-1495 - 2008
- [j3]Florent Masseglia, Pascal Poncelet
, Maguelonne Teisseire, Alice Marascu:
Web usage mining: extracting unexpected periods from web logs. Data Min. Knowl. Discov. 16(1): 39-65 (2008) - 2007
- [j2]Alice Marascu, Florent Masseglia:
Mining sequential patterns from data streams: a centroid approach. Monde des Util. Anal. Données 36: 42-60 (2007) - 2006
- [j1]Alice Marascu, Florent Masseglia:
Mining sequential patterns from data streams: a centroid approach. J. Intell. Inf. Syst. 27(3): 291-307 (2006) - [c3]Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire, Alice Marascu:
Web Usage Mining : extraction de périodes denses à partir des logs. EGC 2006: 403-408 - [c2]Alice Marascu, Florent Masseglia:
Extraction de motifs séquentiels dans les flots de données d'usage du Web. EGC 2006: 627-638 - [c1]Alice Marascu, Florent Masseglia:
Une approche centroïde pour la classification de séquences dans les data streams. INFORSID 2006: 751-765
Coauthor Index
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