Never-ending language learning
Publisher:
Year
: 2014DOI: 10.1109/ICC.2014.6883429
Keyword(s): Internet,n invasive software,n peer-to-peer computing,n Internet-based services,n LICA,n P2P Zeus,n P2P botnet monitoring,n P2P-based botnets,n centralized botnets,n command and control server,n less invasive crawling algorithm,n peer-to-peer-based botnets,n unstructured P2P botnet crawling,n unstructured P2P botnets,n unstructured P2P file sharing network dataset,n Approximation algorithms,n Approximation methods,n Crawlers,n Information sys
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Never-ending language learning
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| contributor author | Mitchell, Tom | |
| contributor author | Fredkin, E. | |
| date accessioned | 2020-03-12T22:20:55Z | |
| date available | 2020-03-12T22:20:55Z | |
| date issued | 2014 | |
| identifier other | 7004203.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1079899 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Never-ending language learning | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8216267 | |
| subject keywords | Internet | |
| subject keywords | n invasive software | |
| subject keywords | n peer-to-peer computing | |
| subject keywords | n Internet-based services | |
| subject keywords | n LICA | |
| subject keywords | n P2P Zeus | |
| subject keywords | n P2P botnet monitoring | |
| subject keywords | n P2P-based botnets | |
| subject keywords | n centralized botnets | |
| subject keywords | n command and control server | |
| subject keywords | n less invasive crawling algorithm | |
| subject keywords | n peer-to-peer-based botnets | |
| subject keywords | n unstructured P2P botnet crawling | |
| subject keywords | n unstructured P2P botnets | |
| subject keywords | n unstructured P2P file sharing network dataset | |
| subject keywords | n Approximation algorithms | |
| subject keywords | n Approximation methods | |
| subject keywords | n Crawlers | |
| subject keywords | n Information sys | |
| identifier doi | 10.1109/ICC.2014.6883429 | |
| journal title | ig Data (Big Data), 2014 IEEE International Conference on | |
| filesize | 1868266 | |
| citations | 0 |