Title :

Quels sont les grand défis de la fouille de données

Author(s) :

Piatetsky-Shapiro, Gregory [Auteur]
Djeraba, Chaabane [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Getoor, Lise [Auteur]
University of California [Santa Cruz] [UC Santa Cruz]
Grossman, Robert [Auteur]
University of Illinois [Chicago] [UIC]
Feldman, Ronen [Auteur]
The Hebrew University of Jerusalem [HUJ]
Zaki, Mohammed [Auteur]
Rensselaer Polytechnic Institute [RPI]

Journal title :

SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining

Pages :

70 - 77

Publisher :

Association for Computing Machinery (ACM)

Publication date :

2006-12-01

ISSN :

1931-0145

English keyword(s) :

Link mining
Data Mining
Challenge problems
proteomics
Large-scale modeling
text mining
Multimedia mining

HAL domain(s) :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Recherche d'information [cs.IR]
Informatique [cs]/Multimédia [cs.MM]
Informatique [cs]/Base de données [cs.DB]
Informatique [cs]/Intelligence artificielle [cs.AI]

English abstract : [en]

We discuss what makes exciting and motivating Grand Challenge problems for Data Mining, and propose criteria for a good Grand Challenge. We then consider possible GC problems from multimedia mining, link mining, large-scale ...
Show more >We discuss what makes exciting and motivating Grand Challenge problems for Data Mining, and propose criteria for a good Grand Challenge. We then consider possible GC problems from multimedia mining, link mining, large-scale modeling, text mining, and proteomics. This report is the result of a panel held at ACM KDD-2006 conference.Show less >

Language :

Anglais

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL