Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Future of Forensics: An analysation of the efficiency of active learning technology assisted review, a multiple case
Jönköping University, Jönköping International Business School, JIBS, Centre for Information Technology and Information Systems (CenITIS).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The analysis of active learning is an important theme in technology assisted review research. The purpose of the study is to create a measurement to determine the efficiency of active learning algorithms, used in technology assisted review, in eDiscovery.The study is based on the research of Cormack & Grossman, (2016) and Quartararo, Poplawski, & Strayer, (2019), and conducted through a multiple case study by Yin, (2018). The findings show that current measurements of when an active learning algorithm can be determined as finished have troubles, if no control set is available. Hence, a new measurement of relative richness is proposed. Furthermore, two commonly used programmes, Relativity and Brainspace, are analysed with a newly created measurement of efficiency to compare their algorithms. Thus, Relativity has an advantage in efficiency compared to Brainspace. Organisations can use the measurements to test the efficiency between different algorithms and test their own active learning algorithms on when more training does not yield proportionate increase in precision, recall and F1.

Place, publisher, year, edition, pages
2019. , p. 110
Keywords [en]
Technical assisted review, ediscovery, forensic review, active learning, efficiency
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hj:diva-46422ISRN: JU-IHH-IKA-2-20190128OAI: oai:DiVA.org:hj-46422DiVA, id: diva2:1356757
External cooperation
Price Waterhouse Coopers Austria
Supervisors
Examiners
Available from: 2019-10-03 Created: 2019-10-02 Last updated: 2019-10-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Search in DiVA

By author/editor
Mössenböck, Vincenz Maria
By organisation
JIBS, Centre for Information Technology and Information Systems (CenITIS)
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 480 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf