Multi-output Regression for Imbalanced Data Stream - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Expert Systems Année : 2023

Multi-output Regression for Imbalanced Data Stream

Résumé

In this paper we describe an imbalanced regression method for making predictions over imbalanced data streams. We present MORSTS (Multiple Output Regression for Streaming Time Series), an online ensemble regressors devoted to nonstationary and imbalanced data streams. MORSTS relies on several multiple output regressor submodels, adopts a cost sensitive weighting technique for dealing with imbalanced datasets, and handles overfitting by means of the K-fold cross validation. For assessment purposes, experiments have been conducted on known real datasets and compared with known base regression techniques.
Fichier principal
Vignette du fichier
MORSTS_Expert_Systems_revised-2.pdf (3.38 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04253821 , version 1 (23-10-2023)

Identifiants

Citer

Tao Peng, Sana Sellami, Omar Boucelma, Richard Chbeir. Multi-output Regression for Imbalanced Data Stream. Expert Systems, 2023, pp.e13417. ⟨10.1111/exsy.13417⟩. ⟨hal-04253821⟩
28 Consultations
3 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More