Mining Functional and Embedded Dependencies using Free Sets. - Noël Novelli; Rosine Cicchetti (BDA, 2000)

APIC: An Efficient Algorithm for Computing Iceberg Datacubes. - Rosine Cicchetti; Noël Novelli; Lotfi Lakhal (BDA, 2001)

FUN: An Efficient Algorithm for Mining Functional and Embedded Dependencies. - Noël Novelli; Rosine Cicchetti (ICDT, 2001)

Functional and embedded dependency inference: a data mining point of view. - Noël Novelli; Rosine Cicchetti (Inf. Syst., 2001)

Computing Full and Iceberg Datacubes Using Partitions. - Marc Laporte; Noël Novelli; Rosine Cicchetti; Lotfi Lakhal (ISMIS, 2002)

Algorithme Efficace de Calcul du Produit de Partitions et ses Applications. - Noël Novelli; Sofian Maabout (BDA, 2003)

L'inférence des dépendances fonctionnelles. - Stéphane Lopes; Noël Novelli (Ingénierie des Systèmes d Inf., 2004)

Réduction du cube de données. - Alain Casali; Rosine Cicchetti; Lotfi Lakhal; Noël Novelli (BDA, 2005)

Lossless Reduction of Datacubes. - Alain Casali; Rosine Cicchetti; Lotfi Lakhal; Noël Novelli (DEXA, 2006)

Structure Réutilisable pour le Calcul et la Manipulation des Cubes de Données. - Hassani Hachim; Noël Novelli (EDA, 2007)

Calcul et représentation efficace de cubes de données pour une visualisation orientée pixel. - Noël Novelli; David Auber (EGC, 2007)

Visually Mining the Datacube using a Pixel-Oriented Technique. - David Auber; Noël Novelli; Guy Melançon (IV, 2007)

Calcul et fouille visuelle orientée-pixel de cubes de données. - Noël Novelli; David Auber (Rev. d'Intelligence Artif., 2008)

Lossless Reduction of Datacubes using Partitions. - Alain Casali; Sébastien Nedjar; Rosine Cicchetti; Lotfi Lakhal; Noël Novelli (Int. J. Data Warehous. Min., 2009)

Découverte des dépendances fonctionnelles conditionnelles fréquentes. - Thierno Diallo; Noël Novelli (EGC, 2010)

Summarizing Datacubes: Semantic and Syntactic Approaches. - Rosine Cicchetti; Lotfi Lakhal; Sébastien Nedjar; Noël Novelli; Alain Casali (Integrations of Data Warehousing, Data Mining and Database Technologies, 2011)

ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets. - Noël Novelli; Laure Berti-Équille; Christophe Hurter (EGC, 2012)

Extraction de Dépendances Fonctionnelles Approximatives : une Approche Incrémentale. - Ekaterina Simonenko; Noël Novelli (EGC, 2012)

Discovering (frequent) constant conditional functional dependencies. - Thierno Diallo; Noël Novelli; Jean-Marc Petit (Int. J. Data Min. Model. Manag., 2012)

Parallel mining of dependencies. - Eve Garnaud; Nicolas Hanusse; Sofian Maabout; Noël Novelli (HPCS, 2014)

Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. - Laure Berti-Équille; Hazar Harmouch; Felix Naumann; Noël Novelli; Saravanan Thirumuruganathan (Proc. VLDB Endow., 2018)

Data Quality Checking for Machine Learning with MeSQuaL. - Ugo Comignani; Noël Novelli; Laure Berti-Équille (EDBT, 2020)

Discovering Multi-Table Functional Dependencies Without Full Join Computation. - Ugo Comignani; Laure Berti-Équille; Noël Novelli (CoRR, 2020)

Provenance-aware Discovery of Functional Dependencies on Integrated Views. - Ugo Comignani; Laure Berti-Équille; Noël Novelli; Angela Bonifati (ICDE, 2022)

Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy. - Quentin Marcou; Laure Berti-Équille; Noël Novelli (J. Biomed. Informatics, 2024)