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A Novel Approach for Detection and Ranking of Trendy and Em..:
, In:
2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
,
Bose, Avishek
;
Behzadan, Vahid
;
Aguirre, Carlos
. - p. 871-878 , 2019
Link:
https://doi.org/10.1145/3341161.3344379
RT T1
2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
: T1
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
UL https://suche.suub.uni-bremen.de/peid=ieee-9073097&Exemplar=1&LAN=DE A1 Bose, Avishek A1 Behzadan, Vahid A1 Aguirre, Carlos A1 Hsu, William H. YR 2019 SN 2473-991X K1 Twitter K1 Machine learning K1 Computer crime K1 novelty detection K1 emerging topics K1 event detection K1 named entity recognition K1 threat intelligence K1 user influence K1 tweet analysis SP 871 OP 878 LK http://dx.doi.org/https://doi.org/10.1145/3341161.3344379 DO https://doi.org/10.1145/3341161.3344379 SF ELIB - SuUB Bremen
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