Predicting innovative firms using web mining and deep learning
| dc.contributor.author | Kinne, Jan | |
| dc.contributor.author | Lenz, David | |
| dc.date.accessioned | 2022-09-02T13:34:47Z | |
| dc.date.available | 2022-09-02T13:34:47Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://jlupub.ub.uni-giessen.de//handle/jlupub/7281 | |
| dc.identifier.uri | http://dx.doi.org/10.22029/jlupub-6732 | |
| dc.language.iso | en | |
| dc.rights | Namensnennung 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | ddc:330 | |
| dc.title | Predicting innovative firms using web mining and deep learning | |
| dc.type | article | |
| local.affiliation | FB 02 - Wirtschaftswissenschaften | |
| local.source.articlenumber | e0249071 | |
| local.source.epage | 18 | |
| local.source.journaltitle | PLOS ONE | |
| local.source.number | 4 | |
| local.source.spage | 1 | |
| local.source.uri | https://doi.org/10.1371/journal.pone.0249071 | |
| local.source.volume | 16 |
Dateien
Originalbündel
1 - 1 von 1
Lade...
- Name:
- 10.1371_journal.pone.0249071.pdf
- Größe:
- 1.74 MB
- Format:
- Adobe Portable Document Format