Moving Hadoop to the Cloud for Big Data Analytics
author
Astrova, Irina
Koschel, Arne
Heine, Felix
Kalja, Ahto
statement of authorship
Irina Astrova, Arne Koschel, Felix Heine, Ahto Kalja
source
Databases and information systems X : selected papers from the thirteenth International Baltic Conference, DB&IS 2018
location of publication
Amsterdam
publisher
IOS Press
year of publication
2019
pages
p. 195-209
series
Frontiers in artificial intelligence and applications ; 315
conference name, date
DB&IS 2018 : 13th International Baltic Conference on Databases and Information Systems, 1–4 July, 2018
conference location
Trakai, Lithuania
url
https://doi.org/10.3233/978-1-61499-941-6-195
https://www.ester.ee/record=b5203991*est
subject term
suurandmed
andmeanalüüs
pilvandmetöötlus
haridus
tarkvaraarendus
Scopus
Conference proceedings at Scopus
Article at Scopus
WOS
Article at WOS
kvartiil
Q3
category (general)
Computer science
en
Arvutiteadus
et
category (sub)
Computer science. Artificial intelligence
en
Arvutiteadus. Tehisintellekt
et
keyword
big data analytics
cloud computing
education
Hadoop
OpenStack
MapReduce
pregel
word counting
shortest path
PageRank
ISSN
0922-6389
ISBN
978-1-61499-940-9
notes
Bibliogr.: 16 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Applied artificial intelligence group