• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 28 matches

• 2024
• 
  Quentin Marcou, Laure Berti-Équille, Noël Novelli:
  Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy. J. Biomed. Informatics 152: 104617 (2024)
• 2023
• 
  Annemie Rose Janssen, Philippa Bricher, Karen Payne, Renuka Badhe, Nicole Biebow, Taco F. de Bruin, Ruth E. Duerr, Pjotr Elshout, Allison G. Gaylord, Øystein Godøy, Patrick Gorringe, Damien Guihen, Johnathan T. Kool, Jan Rene Larsen, Joseph Nolan, Antonio Novellino, William Manley, Andreas Marouchos, Molly McCammon, Maribeth Murray, Jenn Parrott, Jay Pearlman, Helen Peat, Peter L. Pulsifer, Lloyd Symons, Marten Tacoma, Soulaine Theocharides, Stein Tronstad, Chantelle Verhey, Anton Van de Putte:
  Polar Data Forum IV - An Ocean of Opportunities. Data Sci. J. 22 (2023)
• 2022
• 
  Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
  Provenance-aware Discovery of Functional Dependencies on Integrated Views. ICDE 2022: 621-633
• 2021
• 
  Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
  Provenance-aware Discovery of Functional Dependencies on Integrated Views. CoRR abs/2112.09011 (2021)
• 2020
• 
  Ugo Comignani, Noël Novelli, Laure Berti-Équille:
  Data Quality Checking for Machine Learning with MeSQuaL. EDBT 2020: 591-594
• 
  Ugo Comignani, Laure Berti-Équille, Noël Novelli:
  Discovering Multi-Table Functional Dependencies Without Full Join Computation. CoRR abs/2012.06237 (2020)
• 2019
• 
  Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan:
  Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. INFORSID 2019: 287-288
• 2018
• 
  Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan:
  Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. Proc. VLDB Endow. 11(8): 880-892 (2018)
• 2014
• 
  Eve Garnaud, Nicolas Hanusse, Sofian Maabout, Noël Novelli:
  Parallel mining of dependencies. HPCS 2014: 491-498
• 2012
• 
  Thierno Diallo, Noël Novelli, Jean-Marc Petit:
  Discovering (frequent) constant conditional functional dependencies. Int. J. Data Min. Model. Manag. 4(3): 205-223 (2012)
• 
  Noël Novelli, Laure Berti-Équille, Christophe Hurter:
  ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets. EGC 2012: 613-616
• 
  Ekaterina Simonenko, Noël Novelli:
  Extraction de Dépendances Fonctionnelles Approximatives : une Approche Incrémentale. EGC 2012: 95-100
• 2011
• 
  Rosine Cicchetti, Lotfi Lakhal, Sébastien Nedjar, Noël Novelli, Alain Casali:
  Summarizing Datacubes: Semantic and Syntactic Approaches. Integrations of Data Warehousing, Data Mining and Database Technologies 2011: 19-39
• 2010
• 
  Thierno Diallo, Noël Novelli:
  Découverte des dépendances fonctionnelles conditionnelles fréquentes. EGC 2010: 315-326
• 2009
• 
  Alain Casali, Sébastien Nedjar, Rosine Cicchetti, Lotfi Lakhal, Noël Novelli:
  Lossless Reduction of Datacubes using Partitions. Int. J. Data Warehous. Min. 5(1): 18-35 (2009)
• 2008
• 
  Noël Novelli, David Auber:
  Calcul et fouille visuelle orientée-pixel de cubes de données. Rev. d'Intelligence Artif. 22(3-4): 329-352 (2008)
• 2007
• 
  Hassani Hachim, Noël Novelli:
  Structure Réutilisable pour le Calcul et la Manipulation des Cubes de Données. EDA 2007: 67-82
• 
  Noël Novelli, David Auber:
  Calcul et représentation efficace de cubes de données pour une visualisation orientée pixel. EGC 2007: 205-206
• 
  David Auber, Noël Novelli, Guy Melançon:
  Visually Mining the Datacube using a Pixel-Oriented Technique. IV 2007: 3-10
• 2006
• 
  Alain Casali, Rosine Cicchetti, Lotfi Lakhal, Noël Novelli:
  Lossless Reduction of Datacubes. DEXA 2006: 409-419
• 2005
• 
  Alain Casali, Rosine Cicchetti, Lotfi Lakhal, Noël Novelli:
  Réduction du cube de données. BDA 2005
• 2004
• 
  Stéphane Lopes, Noël Novelli:
  L'inférence des dépendances fonctionnelles. Ingénierie des Systèmes d Inf. 9(3-4): 161-182 (2004)
• 2003
• 
  Noël Novelli, Sofian Maabout:
  Algorithme Efficace de Calcul du Produit de Partitions et ses Applications. BDA 2003
• 2002
• 
  Marc Laporte, Noël Novelli, Rosine Cicchetti, Lotfi Lakhal:
  Computing Full and Iceberg Datacubes Using Partitions. ISMIS 2002: 244-254
• 2001
• 
  Noël Novelli, Rosine Cicchetti:
  Functional and embedded dependency inference: a data mining point of view. Inf. Syst. 26(7): 477-506 (2001)
• 
  Rosine Cicchetti, Noël Novelli, Lotfi Lakhal:
  APIC: An Efficient Algorithm for Computing Iceberg Datacubes. BDA 2001
• 
  Noël Novelli, Rosine Cicchetti:
  FUN: An Efficient Algorithm for Mining Functional and Embedded Dependencies. ICDT 2001: 189-203
• 2000
• 
  Noël Novelli, Rosine Cicchetti:
  Mining Functional and Embedded Dependencies using Free Sets. BDA 2000