Grant: Discovery Grants Program - Individual
Saint Mary's University
$34,000.00
Generalized sequential data mining using enhanced object representations based on preliminary clustering profiles
EF 2021-22
Résumé
Association mining; Business intelligence; Customer relationship management; Data mining; Decision making; Deep learning; Fraud detection; Soft computing; Supervised learning; Unsupervised learning
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2018-05363
Name nom
Lingras, Pawan
Department département
Mathematics and Computing Science
Organization id
85
Institution établissement
Saint Mary's University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2018
Award amount
34000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2805
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Learning and inference theories
Research subject fr
Théories de l'apprentissage et l'inférence
Installment
inst:3
Partie
1
Nb partie
6
Application title
Generalized sequential data mining using enhanced object representations based on preliminary clustering profiles
Keyword
NSERC
Application summary
Association mining; Business intelligence; Customer relationship management; Data mining; Decision making; Deep learning; Fraud detection; Soft computing; Supervised learning; Unsupervised learning
