Tension in big data using machine learning
Analysis and applications
Datos Bibliográficos
| ID | 21401815 |
|---|---|
| Autores | Huamao Wang (0000-0003-0436-826X, University of Nottingham), Yumei Yao (0000-0002-5865-5187, University of Glasgow, autor de correspondencia), Said Salhi, Saı̈d Salhi (0000-0002-3384-5240, University of Kent) |
| Año | 2020 |
| Volumen | 158 |
| Páginas | 120175 |
| Fecha de publicación | 2020-09-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Technological Forecasting and Social Change (JOURNAL) |
| Identificadores de la revista | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2020.120175 |
| OpenAlex | W3038825507 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 30 |
Big data · Data mining · Data science · Machine learning · Political science · Popularity · Sample (material) · Selection (genetic algorithm) · Sentiment analysis · Set (abstract data type) · Social media · World Wide Web · Artificial Intelligence · Big Data and Business Intelligence · Computer Science · Data Stream Mining Techniques · Data-Driven Disease Surveillance
| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 0,6 |
| Intervalo de citas | 2021 - 2022 (2) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |