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_c5879 _d5879 |
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| 001 | 00005879 | ||
| 003 | ES-MaONT | ||
| 005 | 20211004062551.0 | ||
| 008 | 200402s2019 |||p| |||| 00| 0 eng d | ||
| 040 |
_c. _aES-MaONT |
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| 100 | 1 |
_aShi, Peining _94373 |
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| 245 | 1 | 0 |
_aDetecting Malicious Social Bots Based on Clickstream Sequences _c/ Peining Shi, Zhiyong Zhang, Kim-Kwang Raymond Choo |
| 260 | _c2019 | ||
| 300 |
_aP. 28855-28862 _bgráf. ; _c1 documento PDF |
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| 336 |
_atexto (visual) _2isbdcontent |
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| 337 |
_aelectrónico _2isbdmedia |
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| 338 |
_arecurso en línea _2rdacarrier |
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| 520 | _aA novel method of detecting malicious social bots, including both features selection based on the transition probability of clickstream sequences and semi-supervised clustering, is presented in this paper. | ||
| 540 | _aTranslations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission | ||
| 650 | 0 |
_aSociedad digital _97 |
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| 653 | _aonline social network | ||
| 653 | _asocial bots | ||
| 653 | _auser behavior | ||
| 653 | _afake news | ||
| 653 | _adata | ||
| 700 | 1 |
_aZhang, Zhiyong _94374 |
|
| 700 | 1 |
_aChoo, Kim-Kwang Raymond _94375 |
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| 773 |
_tIEEE Access _gVolume 7 |
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| 856 | 4 |
_uhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8653381 _x0 _yAcceso al documento _qpdf |
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| 942 |
_2udc _cART |
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