Multiple adaptive mechanisms for predictive models on streaming data
Making predictions on non-stationary streaming data remains a challenge in many application areas. Changes in data may cause a decrease in predictive accuracy, which in a streaming setting require a prompt response. In recent years many adaptive predictive models have been proposed for dealing with...
Main Author: | Bakirov, Rashid |
---|---|
Published: |
Bournemouth University
2017
|
Subjects: | |
Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715398 |
Similar Items
-
Automatic and adaptive preprocessing for the development of predictive models
by: Salvador, Manuel Martin
Published: (2017) -
Adaptive algorithms for real-world transactional data mining
by: Apeh, Edward Tersoo
Published: (2012) -
Data mining e-learning data for a student prediction system
by: Alghamdi, Fahad
Published: (2017) -
Intelligent adaptive multisensor data fusion using hybrid architectures
by: Escamilla-Ambrosio, Ponciano Jorge
Published: (2003) -
Personalising learning with dynamic prediction and adaptation to learning styles in a conversational intelligent tutoring system
by: Latham, Annabel Marie
Published: (2011)