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.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/22117| Title: | An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patients |
| Authors: | Yue, W Wang, Z Liu, W Tian, B Lauria, S Liu, X |
| Keywords: | Friedreich’s Ataxia;Collaborative filtering;Positive correlation;Negative correlation;Particle swarm optimization |
| Issue Date: | 2020 |
| Publisher: | Elsevier |
| Citation: | Neurocomputing, 2020, 419 (2 January 2021), pp. 287 - 294 |
| URI: | http://bura.brunel.ac.uk/handle/2438/22117 |
| DOI: | http://dx.doi.org/10.1016/j.neucom.2020.08.031 |
| ISSN: | 0925-2312 |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 306.56 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.