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Consortium Project: Textual Tree
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.
2019 (English)Other (Refereed)
Resource type
Text
Place, publisher, year, pages
2019.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-18771OAI: oai:DiVA.org:bth-18771DiVA, id: diva2:1362275
Note

This document belongs to a research paper submitted to a conference. The paper is now under review. Once published, it will be linked here.

Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2020-04-17Bibliographically approved

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Consortium Project - Textual Tree-v3(92 kB)84 downloads
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File name FULLTEXT02.pdfFile size 92 kBChecksum SHA-512
fdbe6f2a59c4d11f9246e6ce9b3a71f93229c712a54ee107efa2346213b7f5a8c6d955cd582b876c96f024b1e6987af9ad3dbc26c9bb8f93db1a7c2c56d37faa
Type fulltextMimetype application/pdf

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Maksimov, Yulian
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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
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