o Centro
Comissão de Aconselhamento
Membros
Projectos
Publicações
Conferências e Seminários
Cursos Avançados
Destaques
Grupos de Investigação
Relatórios Cientificos Anuais
Projecto Estratégico
Regulamento Interno
contactos

 
World of Statistics  
   
 
SEMINÁRIO: Data Sciences for XXI Century
 
  • Prof. João Gama - INESC-Porto e Faculdade Economia, Universidade do Porto
  • FCUL - Campo Grande - Bloco C6 Piso 4 - Sala: 6.4.30- 14:30h
  • Quinta-feira, 22 de Março de 2018
  • Referência Projeto: Projecto FCT: UID/MAT/00006/2013
 FCT

Abstract:

Nowadays, there are applications where data is best modelled not as persistent tables, but rather as transient data streams. In this talk we discuss the limitations of current machine learning and data mining algorithms and the fundamental issues in learning in dynamic environments like learning decision models that evolve over time, learning and forgetting, concept drift and change detection. Data streams are characterized by huge amounts of data that introduce new constraints in the design of learning algorithms: limited computational resources in terms of memory, processing time and CPU power. In this talk, we present some illustrative algorithms designed to taking these constrains into account. We identify the main issues and current challenges that emerge in learning from data streams, and present open research lines for further developments.

 


 

     
 
 inicial  |  contactos
© 2006-2018 CEAUL 
Todos os direitos reservados.