Abstract | ||
---|---|---|
Cloud computing is rapidly becoming a widespread alternative to costly on-premise infrastructures for delivering computing services in general and specifically for Data Mining services. Bearing this in mind, it is fairly convenient, to propose an architecture for the deployment of Data Mining services that would allow the underlying computing platform to be abstracted, leaving out of consideration of the cloud provider, technology or the supporting architecture, and focusing on service and his flexible description, composition and deployment. For this purpose, a platform for the deployment of Data Mining services known as OC2DM: Open Cloud Computing Data Mining has been designed. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/SERVICES.2019.00121 | 2019 IEEE World Congress on Services (SERVICES) |
Keywords | Field | DocType |
Data Mining,Services,Cloud Computing,Cloud Services,Deployment achitecture | Data mining,Architecture,Software deployment,Computer science,Cloud computing | Conference |
Volume | ISSN | ISBN |
2642-939X | 2378-3818 | 978-1-7281-3852-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manuel Parra-Royon | 1 | 0 | 0.34 |
José Manuel Benítez | 2 | 888 | 56.02 |