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/2438/20309Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nawaiseh, Aram Khalaf | - |
| dc.contributor.author | Abbod, Maysam | - |
| dc.contributor.author | Itagaki, Takebumi | - |
| dc.coverage.spatial | Cambridge | - |
| dc.date.accessioned | 2020-02-17T09:56:51Z | - |
| dc.date.available | 2020-02-17T09:56:51Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/20309 | - |
| dc.language.iso | en | en_US |
| dc.source | UK Sim 2020 | - |
| dc.source | UK Sim 2020 | - |
| dc.source | UK Sim 2020 | - |
| dc.source | UK Sim 2020 | - |
| dc.subject | Financial Statement Audit | en_US |
| dc.subject | Big Data | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Computer Assisted Audit Tools | en_US |
| dc.subject | Support Vector Machine | en_US |
| dc.title | Financial Statement Audit using Support Vector Machines, Artificial Neural Networks and K-Nearest Neighbour: Empirical study of UK and Ireland. | en_US |
| dc.type | Conference Paper | en_US |
| pubs.finish-date | 2020-03-25 | - |
| pubs.finish-date | 2020-03-25 | - |
| pubs.finish-date | 2020-03-25 | - |
| pubs.finish-date | 2020-03-25 | - |
| pubs.publication-status | Accepted | - |
| pubs.start-date | 2020-03-23 | - |
| pubs.start-date | 2020-03-23 | - |
| pubs.start-date | 2020-03-23 | - |
| pubs.start-date | 2020-03-23 | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 423.18 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.