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Text Classification of Legitimate and Rogue online Privacy Policies: Manual Analysis and a Machine Learning Experimental Approach
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Computer Science)
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2016. , p. 59
Keywords [en]
Privacy policy, legitimate, rogue, text-classification, training, testing, learning algorithms
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-13363OAI: oai:DiVA.org:bth-13363DiVA, id: diva2:1045553
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVACS Master of Science Programme in Computer Science
Presentation
2016-09-28, J1630, BTH, Karlskrona, 03:00 (English)
Supervisors
Available from: 2016-11-22 Created: 2016-11-10 Last updated: 2018-01-13Bibliographically approved

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fulltext(704 kB)721 downloads
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File name FULLTEXT02.pdfFile size 704 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Rekanar, Kaavya
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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