Applying data mining principles in the extraction of digital evidence

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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


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