Iteratively Learning Conditional Statements in Transforming Data by Example
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Year
: 2014DOI: 10.1109/IC2E.2014.66
Keyword(s): cloud computing,n resource allocation,n ExoGENI cloud,n cloud environment,n cloud resource provisioning,n data-intensive scientific applications,n intelligent strategies,n pipelining strategy,n placement strategy,n provisioning strategy,n Cloud computing,n Data transfer,n Pipeline processing,n Real-time systems,n Reliability,n Scalability
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Iteratively Learning Conditional Statements in Transforming Data by Example
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| contributor author | Wu, Bo | |
| contributor author | Knoblock, Craig A. | |
| date accessioned | 2020-03-12T22:45:42Z | |
| date available | 2020-03-12T22:45:42Z | |
| date issued | 2014 | |
| identifier other | 7022719.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1093642?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Iteratively Learning Conditional Statements in Transforming Data by Example | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8233129 | |
| subject keywords | cloud computing | |
| subject keywords | n resource allocation | |
| subject keywords | n ExoGENI cloud | |
| subject keywords | n cloud environment | |
| subject keywords | n cloud resource provisioning | |
| subject keywords | n data-intensive scientific applications | |
| subject keywords | n intelligent strategies | |
| subject keywords | n pipelining strategy | |
| subject keywords | n placement strategy | |
| subject keywords | n provisioning strategy | |
| subject keywords | n Cloud computing | |
| subject keywords | n Data transfer | |
| subject keywords | n Pipeline processing | |
| subject keywords | n Real-time systems | |
| subject keywords | n Reliability | |
| subject keywords | n Scalability | |
| identifier doi | 10.1109/IC2E.2014.66 | |
| journal title | ata Mining Workshop (ICDMW), 2014 IEEE International Conference on | |
| filesize | 485143 | |
| citations | 0 |