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dc.contributor.author
Bakshi, Nikhil
dc.date.accessioned
2017-06-13T06:52:54Z
dc.date.available
2017-06-13T06:52:54Z
dc.date.issued
2008
dc.identifier.uri
http://hdl.handle.net/20.500.11850/150603
dc.identifier.doi
10.3929/ethz-a-005665343
dc.language.iso
en
dc.publisher
ETH, Eidgenössische Technische Hochschule Zürich, Institut fur Computational Science
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
WISSENSAKQUISITION + WISSENSERWERB (KÜNSTLICHE INTELLIGENZ)
dc.subject
COMPUTERANWENDUNGEN/FINANZ- UND BANKWESEN
dc.subject
BÖRSENKURSE (FINANZEN)
dc.subject
KNOWLEDGE ACQUISITION (ARTIFICIAL INTELLIGENCE)
dc.subject
COMPUTER APPLICATIONS IN FINANCE AND BANKING
dc.subject
STOCK EXCHANGE SHARE PRICE (FINANCE)
dc.title
Stock market prediction using online data
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.title.subtitle
fundamental and technical approaches
ethz.size
Online-Datei
ethz.code.ddc
0 - Computer science, information & general works::004 - Data processing, computer science
ethz.code.ddc
3 - Social sciences::330 - Economics
ethz.notes
Master's Thesis in Computer Science ETH Zurich, August 2008.
ethz.identifier.nebis
005665343
ethz.publication.place
Zürich
ethz.publication.status
published
ethz.leitzahl
02644 - Institut für Wissenschaftliches Rechnen, direkt
ethz.date.deposited
2017-06-13T06:55:26Z
ethz.source
ECOL
ethz.identifier.importid
imp59366ac3e660145402
ethz.ecolpid
eth:30710
ethz.eth
yes
ethz.availability
Open access
ethz.rosetta.installDate
2017-07-15T01:09:21Z
ethz.rosetta.lastUpdated
2018-11-04T17:33:29Z
ethz.rosetta.versionExported
true
ethz.COinS
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