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Oumaima Alaoui Ismaili
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2020 – today
- 2023
- [j2]Marwa Elleuch
, Nassim Laga, Oumaima Alaoui Ismaili, Walid Gaaloul:
Multi-perspective business process discovery from messaging systems: State-of-the art. Concurr. Comput. Pract. Exp. 35(11) (2023) - [j1]Marwa Elleuch
Process fragments discovery from emails: Functional, data and behavioral perspectives discovery. Inf. Syst. 118: 102229 (2023) - [c14]Marwa Elleuch, Oumaima Alaoui Ismaili, Philippe Legay:
Deep Dive Survey Miner. CoopIS (Demos) 2023: 31-35 - [c13]Marwa Elleuch, Christophe Maillard, Olivier Graille, Sonia Laurent, Oumaima Alaoui Ismaili, Philippe Legay:
Activity Discovery Tool From Unstructured Data To Enhance Process Mining. ICPM Doctoral Consortium / Demo 2023 - 2022
- [i2]Rémy Scholler, Jean-François Couchot, Oumaima Alaoui Ismaili, Denis Renaud, Eric Ballot:
In-stream Probabilistic Cardinality Estimation for Bloom Filters. CoRR abs/2210.15630 (2022) - 2021
- [c12]Rémy Scholler, Oumaïma Alaoui-Ismaïli, Jean-François Couchot, Eric Ballot, Denis Renaud:
Observing Road Freight Traffic from Mobile Network Signalling Data While Respecting Privacy and Business Confidentiality. Privacy and Identity Management 2021: 195-205 - 2020
- [c11]Marwa Elleuch
A Meta Model for Mining Processes from Email Data. SCC 2020: 152-161 - [c10]Marwa Elleuch, Oumaima Alaoui Ismaili, Nassim Laga, Walid Gaaloul
Discovering Activities from Emails Based on Pattern Discovery Approach. BPM (Forum) 2020: 88-104 - [c9]Marwa Elleuch
Discovery of Activities' Actor Perspective from Emails based on Speech Acts Detection. ICPM 2020: 73-80 - [c8]Marwa Elleuch
Discovering Business Processes And Activities From Messaging Systems: State-Of-The Art. WETICE 2020: 137-142 - [i1]Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay:
Predictive K-means with local models. CoRR abs/2012.09630 (2020)
2010 – 2019
- 2019
- [c7]Nassim Laga, Marwa Elleuch
Emails Analysis for Business Process Discovery. ATAED@Petri Nets/ACSD 2019: 54-70 - 2018
- [c6]Vincent Lemaire, Oumaima Alaoui Ismaili:
Apport des modèles locaux pour les K-moyennes prédictives. EGC 2018: 191-202 - 2017
- [c5]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
Un critère d'évaluation pour les K-moyennes prédictives. EGC 2017: 297-302 - 2016
- [b1]Oumaima Alaoui Ismaili:
Clustering prédictif Décrire et prédire simultanément. (Predictive clustering Describe and predict simultaneously). University of Paris-Saclay, France, 2016 - [c4]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
Une méthode supervisée pour initialiser les centres des K-moyennes. EGC 2016: 147-152 - 2015
- [c3]Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols:
An initialization scheme for supervized K-means. IJCNN 2015: 1-8 - 2014
- [c2]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
Supervised Pre-processings Are Useful for Supervised Clustering. ECDA 2014: 147-157 - [c1]Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols:
A Supervised Methodology to Measure the Variables Contribution to a Clustering. ICONIP (1) 2014: 159-166
Coauthor Index
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