Driftage: a multi-agent system framework for concept drift detection.

Journal: GigaScience
Published Date: Jun 1, 2021

Abstract

BACKGROUND: The amount of data and behavior changes in society happens at a swift pace in this interconnected world. Consequently, machine learning algorithms lose accuracy because they do not know these new patterns. This change in the data pattern is known as concept drift. There exist many approaches for dealing with these drifts. Usually, these methods are costly to implement because they require (i) knowledge of drift detection algorithms, (ii) software engineering strategies, and (iii) continuous maintenance concerning new drifts.

Authors

  • Diogo Munaro Vieira
    Informatics Department, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marques de São Vicente, 225, Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
  • Chrystinne Fernandes
    Informatics Department, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marques de São Vicente, 225, Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
  • Carlos Lucena
    Informatics Department, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marques de São Vicente, 225, Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
  • Sergio Lifschitz
    Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro-RJ 22451-900, Brazil. sergio@inf.puc-rio.br.

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