Year: 2024
Type: conference-paper
Abstract: Missing values are a common problem in streaming scenarios, mainly due to equipment faults, network errors, and data unpredictability. This paper presents an overview of handling missing values in data streams, elucidating key concepts and summarizing recent studies that tackle this issue. It highlights limitations related to data stream requisites, concept drift exploration, and missing mechanism assumptions. Our discussion aims to indicate open issues and contribute to new research initiatives in this area.
Authors: Afonso M. S. Lima, Elaine P. M. de Sousa
Institution: Universidade de São Paulo
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4403823932