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 Computer Science, Theory & Methods
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 2016 | The impact of big data on M&S: Do we need to get "big"? | Taylor, SJE |
| 2020 | Overview of the 3rd DECOR Workshop | Andres, F; Ghinea, G; Grosky, W; Leite, MCA |
| 2013 | The Role of Text Pre-processing in Sentiment Analysis | Haddi, E; Liu, X; Shi, Y |