dc.contributor.advisor |
Pizzi, Claudio |
it_IT |
dc.contributor.author |
Koliadenko, Pavlo <1998> |
it_IT |
dc.date.accessioned |
2021-06-29 |
it_IT |
dc.date.accessioned |
2021-10-07T12:38:28Z |
|
dc.date.available |
2021-10-07T12:38:28Z |
|
dc.date.issued |
2021-07-12 |
it_IT |
dc.identifier.uri |
http://hdl.handle.net/10579/19992 |
|
dc.description.abstract |
-
Time Series Forecasting, ARIMA model, Artificial Neural Network, Hybrid model, Box-Jenkins methodology |
it_IT |
dc.language.iso |
en |
it_IT |
dc.publisher |
Università Ca' Foscari Venezia |
it_IT |
dc.rights |
© Pavlo Koliadenko, 2021 |
it_IT |
dc.title |
Time series forecasting using hybrid ARIMA and ANN models |
it_IT |
dc.title.alternative |
Financial time series forecasting using hybrid ARIMA and Deep Learning models |
it_IT |
dc.type |
Master's Degree Thesis |
it_IT |
dc.degree.name |
Economia e finanza |
it_IT |
dc.degree.level |
Laurea magistrale |
it_IT |
dc.degree.grantor |
Dipartimento di Economia |
it_IT |
dc.description.academicyear |
2020/2021-Sessione Estiva |
it_IT |
dc.rights.accessrights |
openAccess |
it_IT |
dc.thesis.matricno |
883029 |
it_IT |
dc.subject.miur |
SECS-S/03 STATISTICA ECONOMICA |
it_IT |
dc.description.note |
|
it_IT |
dc.degree.discipline |
|
it_IT |
dc.contributor.co-advisor |
|
it_IT |
dc.date.embargoend |
|
it_IT |
dc.provenance.upload |
Pavlo Koliadenko (883029@stud.unive.it), 2021-06-29 |
it_IT |
dc.provenance.plagiarycheck |
Claudio Pizzi (pizzic@unive.it), 2021-07-12 |
it_IT |