Zobrazeno 1 - 6
of 6
pro vyhledávání: '"T. H. Akila S. Siriweera"'
Autor:
T. H. Akila S. Siriweera, Incheon Paik
Publikováno v:
DSAA
Automation of Big Data Analysis (BDA) procedure gives us a great profit in the era of Big Data and Artificial Intelligence. BDA procedure can be efficiently automated by the automatic service composition concept efficiently. Our previous work for Aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c1add4deadb7190bd0618a94c1957f2
https://doi.org/10.1109/dsaa.2019.00081
https://doi.org/10.1109/dsaa.2019.00081
Publikováno v:
Services Transactions on Big Data. 2:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63b901b8f1363bcbe735ca06062fa26f
https://doi.org/10.29268/stbd.2015.2.2.1
https://doi.org/10.29268/stbd.2015.2.2.1
Publikováno v:
MCSoC
Service discovery and composition are a challenging issue for service computing when providing a value-added service. Existing approaches by keyword or ontology matching have limitations for locating realistic service discovery and composition that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96e83ca37c9b794478abdf50b4d1c3b1
https://doi.org/10.1109/mcsoc.2017.9
https://doi.org/10.1109/mcsoc.2017.9
Publikováno v:
SCC
As services for Big Data Analysis (BDA) become prevalent, analysis services with intelligence and autonomy using automatic service composition (ASC) show bright prospects in the BDA market. Selection is one of the most important phases of successful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ee68c33a2100f42acbc30c758021fd
https://doi.org/10.1109/scc.2017.22
https://doi.org/10.1109/scc.2017.22
Autor:
Banage T. G. S. Kumara, T. H. Akila S. Siriweera, Rupasingha A. H. M. Rupasingha, Incheon Paik
Publikováno v:
2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
According to the growth of the Web, the number of Web services is increased rapidly and efficient Web service discovery has become an important and challenging task. To overcome this issue, in this paper we proposed a Web service clustering method th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a9c8d12de2a79974d4df89479b7643d
https://doi.org/10.1109/iemcon.2016.7746301
https://doi.org/10.1109/iemcon.2016.7746301
Publikováno v:
ICWS
In the era of Big Data, data analysis gives strong competition power to enterprises. As services for Big Data Analysis (BDA) become prevalent, analysis services with intelligence and autonomy using automatic service composition show very bright prosp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce6be085932a1d6d3c6caa1c60fd4fe3
https://doi.org/10.1109/icws.2016.49
https://doi.org/10.1109/icws.2016.49