Arbres de modèles et flux de données incomplets

Authors

O. Parisot, Y. Didry, T. Tamisier, and B. Otjacques

Reference

in 16ème conférence Extraction et Gestion des Connaissances (EGC 2016), Reims, France, 18-22 janvier 2016, vol. RNTI-E-30, pp. 519-520, 2016

Description

Model tree is a useful and convenient method for predictive analytics in data streams.
Often, this issue is solved by pre-processing techniques applied prior to the training phase of the model. In this article, we propose a new method that estimates and adjusts missing values before the model tree training. A prototype was developed and tested on several data streams.

Link

http://editions-rnti.fr/?inprocid=1002210