Controlling filament pattering by microsecond-pulsed dielectric barrier discharge plasma for biomedical applications
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: 2014DOI: 10.1109/FUZZ-IEEE.2014.6891735
Keyword(s): data mining,n fuzzy set theory,n Boolean data,n categorical data,n financial data streams,n frequent-item-sets,n multiple objective functions,n optimized fuzzy association rule mining,n quantitative data,n sensor data streams,n two-level iteration,n Association rules,n Blood pressure,n Fuzzy sets,n Linear programming,n Optimization,n Partitioning algorithms,n Fuzzy sets,n Objective Function,n Optimized Partition Points,n Quantitative As
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Controlling filament pattering by microsecond-pulsed dielectric barrier discharge plasma for biomedical applications
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| contributor author | Chernets, N. | |
| contributor author | Fridman, G. | |
| contributor author | Friedman, G. | |
| contributor author | Fridman, A. | |
| contributor author | Silagi, E. | |
| contributor author | Freeman, T.A. | |
| date accessioned | 2020-03-12T22:30:21Z | |
| date available | 2020-03-12T22:30:21Z | |
| date issued | 2014 | |
| identifier other | 7012646.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1085302 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Controlling filament pattering by microsecond-pulsed dielectric barrier discharge plasma for biomedical applications | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8222732 | |
| subject keywords | data mining | |
| subject keywords | n fuzzy set theory | |
| subject keywords | n Boolean data | |
| subject keywords | n categorical data | |
| subject keywords | n financial data streams | |
| subject keywords | n frequent-item-sets | |
| subject keywords | n multiple objective functions | |
| subject keywords | n optimized fuzzy association rule mining | |
| subject keywords | n quantitative data | |
| subject keywords | n sensor data streams | |
| subject keywords | n two-level iteration | |
| subject keywords | n Association rules | |
| subject keywords | n Blood pressure | |
| subject keywords | n Fuzzy sets | |
| subject keywords | n Linear programming | |
| subject keywords | n Optimization | |
| subject keywords | n Partitioning algorithms | |
| subject keywords | n Fuzzy sets | |
| subject keywords | n Objective Function | |
| subject keywords | n Optimized Partition Points | |
| subject keywords | n Quantitative As | |
| identifier doi | 10.1109/FUZZ-IEEE.2014.6891735 | |
| journal title | lasma Sciences (ICOPS) held with 2014 IEEE International Conference on High-Power Particle Beams (BE | |
| filesize | 63802 | |
| citations | 0 |