Applying data mining principles in the extraction of digital evidence
| dc.contributor.author | Raburu, George | |
| dc.contributor.author | Omollo, Richard | |
| dc.contributor.author | Okumu, Daniel Onyango | |
| dc.date.accessioned | 2018-08-14T08:58:39Z | |
| dc.date.available | 2018-08-14T08:58:39Z | |
| dc.date.issued | 2018-03 | |
| dc.identifier.issn | 2320–088X | |
| dc.identifier.uri | www.ijcsmc.com | |
| dc.identifier.uri | http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/1418 | |
| dc.description | www.ijcsmc.com | en_US |
| dc.description.abstract | Data mining in databases is part of the interdisciplinary field of knowledge discovery used for extracting patterns and relationships amongst the data sets from a data source. This paper focuses on mining data from a database. The study further identifies how data mining techniques can be used to support digital forensic investigation in a digital crime case. Digital forensic models are reviewed, concepts mapped onto experimental cases and tested on a Pentium (R) Core ™ 2 Duo CPU, 1.89 GHz with Windows XP Professional OS. The findings supported the benefits of integrating data mining principles in extracting data for digital evidence. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | International Journal of Computer Science and Mobile Computing | en_US |
| dc.subject | Data Mining techniques | en_US |
| dc.subject | Digital forensics | en_US |
| dc.subject | Digital Investigation | en_US |
| dc.subject | Data Recovery | en_US |
| dc.title | Applying data mining principles in the extraction of digital evidence | en_US |
| dc.type | Article | en_US |
