A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets
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سال
: 2014شناسه الکترونیک: 10.1109/ICC.2014.6883695
کلیدواژه(گان): Internet,n human factors,n internetworking,n mobile computing,n smart phones,n social networking (online),n ISP network,n MSN user activities,n MSN user behavior,n active online time,n intersession,n lognormal features,n mobile Internet technology,n mobile carrier,n mobile network gateway,n mobile social networks,n network dynamics,n power law features,n service providers,n smartphones,n user requests,n virtual communities,n Inter
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A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets
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| contributor author | Wang, Xiaoguang | |
| contributor author | Liu, Xuan | |
| contributor author | Matwin, Stan | |
| date accessioned | 2020-03-12T22:21:21Z | |
| date available | 2020-03-12T22:21:21Z | |
| date issued | 2014 | |
| identifier other | 7004467.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1080154 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8216531 | |
| subject keywords | Internet | |
| subject keywords | n human factors | |
| subject keywords | n internetworking | |
| subject keywords | n mobile computing | |
| subject keywords | n smart phones | |
| subject keywords | n social networking (online) | |
| subject keywords | n ISP network | |
| subject keywords | n MSN user activities | |
| subject keywords | n MSN user behavior | |
| subject keywords | n active online time | |
| subject keywords | n intersession | |
| subject keywords | n lognormal features | |
| subject keywords | n mobile Internet technology | |
| subject keywords | n mobile carrier | |
| subject keywords | n mobile network gateway | |
| subject keywords | n mobile social networks | |
| subject keywords | n network dynamics | |
| subject keywords | n power law features | |
| subject keywords | n service providers | |
| subject keywords | n smartphones | |
| subject keywords | n user requests | |
| subject keywords | n virtual communities | |
| subject keywords | n Inter | |
| identifier doi | 10.1109/ICC.2014.6883695 | |
| journal title | ig Data (Big Data), 2014 IEEE International Conference on | |
| filesize | 1359023 | |
| citations | 0 |