Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Support vector machine
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 2019 | Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine | Di, Z; Gong, X; Shi, J; Ahmed, HOA; Nandi, AK |
| 8-Aug-2020 | A new hybrid financial time series prediction model | Alhnaity, B; Abbod, M |
| 2010 | A novel hybrid technique for short-term electricity price forecasting in deregulated electricity markets | Hu, Linlin |
| 2013 | An ontology enhanced parallel SVM for scalable spam filter training | Caruana, G; Li, M; Liu, Y |
| 2015 | Predicting FTSE 100 close price using hybrid model | Al-Hnaity, B; Abbod, M; Alar'Raj, M |