Using rule mining to understand appliance energy consumption patterns
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Year
: 2014DOI: 10.1109/ECOC.2014.6964160
Keyword(s): Bit error rate,Channel capacity,Forward error correction,Interference,Optical noise,Resource management,Signal to noise ratio
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Using rule mining to understand appliance energy consumption patterns
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| contributor author | Rollins, S. , Banerjee, N. | |
| date accessioned | 2020-03-12T19:44:46Z | |
| date available | 2020-03-12T19:44:46Z | |
| date issued | 2014 | |
| identifier other | 6813940.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/988437?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Using rule mining to understand appliance energy consumption patterns | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8104591 | |
| subject keywords | Bit error rate | |
| subject keywords | Channel capacity | |
| subject keywords | Forward error correction | |
| subject keywords | Interference | |
| subject keywords | Optical noise | |
| subject keywords | Resource management | |
| subject keywords | Signal to noise ratio | |
| identifier doi | 10.1109/ECOC.2014.6964160 | |
| journal title | ervasive Computing and Communications (PerCom), 2014 IEEE International Conference on | |
| filesize | 1137882 | |
| citations | 0 |