A survey on machine learning for recurring concept drifting data streams
Autor:
Suárez-Cetrulo, Andrés L.
; Quintana, David
; Cervantes, Alejandro
Fecha:
2023Palabra clave:
Revista / editorial:
Expert Systems with ApplicationsCitación:
Suárez-Cetrulo, A. L., Quintana, D., & Cervantes, A. (2022). A survey on machine learning for recurring concept drifting data streams. Expert Systems with Applications, 118934.Tipo de Ítem:
Articulo Revista IndexadaResumen:
The problem of concept drift has gained a lot of attention in recent years. This aspect is key in many domains exhibiting non-stationary as well as cyclic patterns and structural breaks affecting their generative processes. In this survey, we review the relevant literature to deal with regime changes in the behaviour of continuous data streams. The study starts with a general introduction to the field of data stream learning, describing recent works on passive or active mechanisms to adapt or detect concept drifts, frequent challenges in this area, and related performance metrics. Then, different supervised and non-supervised approaches such as online ensembles, meta-learning and model-based clustering that can be used to deal with seasonalities in a data stream are covered. The aim is to point out new research trends and give future research directions on the usage of machine learning techniques for data streams which can help in the event of shifts and recurrences in continuous learning scenarios in near real-time.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
59 |
78 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
245 |
88 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Machine Learning for Financial Prediction Under Regime Change Using Technical Analysis: A Systematic Review
Suárez-Cetrulo, Andrés L.; Quintana, David; Cervantes, Alejandro (International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)Recent crises, recessions and bubbles have stressed the non-stationary nature and the presence of drastic structural changes in the financial domain. The most recent literature suggests the use of conventional machine ... -
Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults
Cervantes, Alejandro; Quintana, David; Saez, Yago; Isasi, Pedro (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)The connection between digital literacy and the three core dimensions of psychological well-being is not yet well understood, and the evidence is controversial. We analyzed a sample of 2,314 individuals, aged 50 years and ... -
Improving Children's Experience on a Mobile EdTech Platform through a Recommender System
Ruiz-Iniesta, Almudena ; Melgar, Luis; Baldominos, Alejandro; Quintana, David (Mobile Information Systems, 2018)Smile and Learn is an EdTech digital publisher that offers a smart library of close to 100 educational stories and gaming apps for mobile devices aimed at children aged 2 to 10 and their families. Given the complexity of ...