<div class="csl-bib-body">
<div class="csl-entry">Andersson, L., Hanbury, A., & Rauber, A. (2017). The Portability of Three Types of Text Mining Techniques into the Patent Text Genre. In M. Lupu, K. Mayer, N. Kando, & A. Trippe (Eds.), <i>Current Challenges in Patent Information Retrieval</i> (pp. 241–280). Springer. http://hdl.handle.net/20.500.12708/24332</div>
</div>
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dc.identifier.isbn
9783662538173
-
dc.identifier.isbn
9783662538166
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/24332
-
dc.publisher
Springer
-
dc.relation.ispartofseries
The Information Retrieval Series
-
dc.title
The Portability of Three Types of Text Mining Techniques into the Patent Text Genre
en
dc.type
Buchbeitrag
de
dc.type
Book Contribution
en
dc.contributor.editoraffiliation
Patinformatics, LLC
-
dc.relation.doi
10.1007/978-3-662-53817-3
-
dc.relation.issn
1871-7500
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dc.description.startpage
241
-
dc.description.endpage
280
-
dc.type.category
Edited Volume Contribution
-
dc.relation.eissn
2730-6836
-
tuw.booktitle
Current Challenges in Patent Information Retrieval
-
tuw.relation.ispartofseries
The Information Retrieval Series
-
tuw.book.ispartofseries
The Information Retrieval Series
-
tuw.relation.publisher
Springer
-
tuw.relation.publisherplace
Berlin Heidelberg
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tuw.publication.orgunit
E194-01 - Forschungsbereich Information und Software Engineering