id: 05965466
dt: a
an: 05965466
au: Mena Torres, Dayrelis; Aguilar Ruiz, Jesús; Rodríguez Sarabia, Yanet
ti: Classification model for data streams based on similarity.
so: Mehrotra, Kishan G. (ed.) et al., Modern approaches in applied
    intelligence. 24th international conference on industrial engineering
    and other applications of applied intelligent systems, IEA/AIE 2011,
    Syracuse, NY, USA, June 28 ‒ July 1, 2011. Proceedings, Part I.
    Berlin: Springer (ISBN 978-3-642-21821-7/pbk). Lecture Notes in
    Computer Science 6703. Lecture Notes in Artificial Intelligence, 1-9
    (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: classification; data streams; similarity
ci: 
li: doi:10.1007/978-3-642-21822-4_1
ab: Summary: Mining data streams is a field of study that poses new challenges.
    This research delves into the study of applying different techniques of
    classification of data streams, and carries out a comparative analysis
    with a proposal based on similarity; introducing a new form of
    management of representative data models and policies of insertion and
    removal, advancing also in the design of appropriate estimators to
    improve classification performance and updating of the model.
rv: