Incremental data alignment for evolving datasets

Authors

Ahmad El Allaoui (ORCID: https://orcid.org/0000-0002-8897-3565)
Olivier Teste (ORCID: https://orcid.org/0000-0003-0338-9886)
Oumaima El Haddadi
Max Chevalier (ORCID: https://orcid.org/0000-0001-5402-6255)
Bernard Dousset
Anass El Haddadi

Publication Details

Journal: Data & Knowledge Engineering
Published: 2026-04-13
DOI: https://doi.org/10.1016/j.datak.2026.102608
Primary Topic: Time Series Analysis and Forecasting
Type: article
Field-Weighted Citation Impact: 0.00

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article

Incremental data alignment for evolving datasets

Ahmad El Allaoui, Olivier Teste, Oumaima El Haddadi, Max Chevalier et al.

Apr 13, 2026

Data & Knowledge Engineering

Time Series Analysis and Forecasting

article

Incremental data alignment for evolving datasets

Ahmad El Allaoui, Olivier Teste, Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Anass El Haddadi

April 13, 2026article en

Abstract

No abstract available for this paper.

Data & Knowledge EngineeringVol. 164

Openalex Percentile: Top 31%

Time Series Analysis and Forecasting

DOI Open Access PDF OpenAlex

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Incremental data alignment for evolving datasets — Ahmad El Allaoui, Olivier Teste, et al. · Data & Knowledge Engineering (2026) | TGRS Research Map | TGRS