dc.contributor |
Eberhard Karls Universität Tübingen |
de_DE |
dc.contributor |
Verlag Dr. Kovač |
de_DE |
dc.contributor.author |
Mast, Daniela |
de_DE |
dc.date.accessioned |
2023-04-21T08:39:46Z |
|
dc.date.available |
2023-04-21T08:39:46Z |
|
dc.date.issued |
2023 |
de_DE |
dc.identifier.isbn |
978-3-339-13460-8 |
de_DE |
dc.identifier.isbn |
3-339-13460-X |
de_DE |
dc.identifier.uri |
http://hdl.handle.net/10900/139444 |
|
dc.language.iso |
en |
|
dc.publisher |
Hamburg Verlag Dr. Kovac |
de_DE |
dc.relation.ispartofseries |
Electronic commerce, marketing & finance ; Band 10 |
de_DE |
dc.title |
Understanding and predicting demand through visual characteristics and neural networks |
de_DE |
dc.type |
PhDThesis |
de_DE |
utue.personen.roh |
Mast, Daniela |
de_DE |
utue.publikation.seitengesamt |
XV, 141 Seiten |
de_DE |
utue.titel.verfasserangabe |
Daniela Mast |
de_DE |
utue.publikation.abrufzeichen |
tdis |
de_DE |
utue.publikation.swbdatum |
2303 |
de_DE |
utue.publikation.fachbereich |
35 |
de_DE |
utue.publikation.fakultaet |
6 |
de_DE |
utue.artikel.ppn |
1832453685 |
de_DE |