Dealing with data streams: Complex event processing vs. data stream mining
author
Lange, Moritz
Koschel, Arne
Astrova, Irina
statement of authorship
Moritz Lange, Arne Koschel, Irina Astrova
source
Computational Science and Its Applications – ICCSA 2020 : 20th International Conference, Cagliari, Italy, July 1–4, 2020 : Proceedings, Part IV
location of publication
Cham
publisher
Springer
year of publication
2020
pages
p. 3-14
series
Lecture notes in computer science ; 12252
url
https://doi.org/10.1007/978-3-030-58811-3_1
subject term
andmeedastus
andmekaeve
andmetöötlus
Scopus
https://www.scopus.com/sourceid/25674
https://www.scopus.com/record/display.uri?eid=2-s2.0-85092253668&origin=inward&txGid=382600e76767f399ed18faaddd19f025
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005
https://www.webofscience.com/wos/woscc/full-record/WOS:000722380600001
quartile
Q3
category (general)
Computer science
Arvutiteadus
Mathematics
Matemaatika
category (sub)
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
Mathematics. Theoretical computer science
Matemaatika. Teoreetiline arvutiteadus
keyword
data streams
complex event processing
data stream mining
data mining
ISBN
978-3-030-58810-6
notes
Bibliogr.: 22 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Applied artificial intelligence group