Performance of a distributed apriori algorithm using the serverless functions of the Apollo framework
author
Shahin, Mahtab
Shah, Syed Attique
Sharma, Rahul
Ghasempouri, Tara
Poveda, Juan Aznar
Fahringer, Thomas
Draheim, Dirk
statement of authorship
Mahtab Shahin, Syed Attique Shah, Rahul Sharma, Tara Ghasempouri, Juan Aznar Poveda, Thomas Fahringer, and Dirk Draheim
source
Machine Learning Methods in Systems : proceedings of 13th Computer Science On-line Conference 2024
location of publication
Cham
publisher
Springer
year of publication
2024
pages
12 p
series
Lecture Notes in Networks and Systems ; 1126
conference name, date
The 13th Computer Science Online Conference 2024 (CSOC 2024), held virtually in April 2024
url
https://link.springer.com/book/9783031705946
https://doi.org/10.1007/978-3-031-70595-3_37
subject term
algoritmid
andmekaeve
tehisõpe
Scopus
https://www.scopus.com/sourceid/21100901469
https://www.scopus.com/record/display.uri?eid=2-s2.0-85208608005&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=ALL%28%22Performance+of+a+distributed+apriori+algorithm+using+the+serverless+functions+of+the+Apollo+framework%22%29&sessionSearchId=a1950993a8713b95c4defac4e2fbf8c1&relpos=1
category (general)
Computer science
Arvutiteadus
Engineering
Tehnika
category (sub)
Computer science. Signal processing
Arvutiteadus. Signaalitöötlus
Engineering. Control and systems engineering
Tehnika. Juhtimis- ja süsteemitehnika
Computer science. Computer networks and communications
Arvutiteadus. Arvutivõrgud ja side
keyword
apriori algorithm
association rule mining
distribution
machine learning
parallel framework
ISSN
2367-3370
ISBN
978-3-031-70595-3 (e-book)
978-303170594-6
notes
Bibliogr.: 44 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise