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Applying data mining principles in the extraction of digital evidence

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Publication Date
2018-03
Author
Raburu, George
Omollo, Richard
Okumu, Daniel Onyango
Type
Article
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Abstract/Overview

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.

Subject/Keywords
Data Mining techniques; Digital forensics; Digital Investigation; Data Recovery
Further Details

www.ijcsmc.com

Publisher
International Journal of Computer Science and Mobile Computing
ISSN
2320–088X
Permalink
www.ijcsmc.com
http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/1418
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