RT Journal Article
T1 Classification Model for Data Streams Based on Similarity
A1 Mena Torres, Dayrelis
A1 Aguilar-Ruiz, Jesús Salvador
A1 Rodríguez- Sarabia, Yanet
K1 Data streams,Classification,Similarity
AB 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.
PB Springer
YR 2011
FD 2011-07-01
LK https://hdl.handle.net/10433/26333
UL https://hdl.handle.net/10433/26333
LA en
NO Mena Torres, D., Aguilar Ruiz, J., Rodríguez Sarabia, Y. (2011). Classification Model for Data Streams Based on Similarity. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6703. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21822-4_1
NO Deporte e Informática
DS RIO
RD May 22, 2026