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Sensitive Topic Detection Model Based on Collaboration of Dynamic Case Knowledge Base.

, , , and . WETICE, page 156-161. IEEE Computer Society, (2011)

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Characterization and computation of optimal distributions for channel coding., and . IEEE Trans. Information Theory, 51 (7): 2336-2351 (2005)Understanding and predicting the peak popularity of bursting hashtags., , , and . J. Comput. Science, (2018)Error exponents for channel coding and signal constellation design., , and . ISIT, page 478. IEEE, (2004)Extremal distributions in information theory and hypothesis testing., , , and . ITW, page 76-81. IEEE, (2004)Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel., , , , and . IEEE Trans. Wireless Communications, 3 (2): 486-499 (2004)Sensitive Topic Detection Model Based on Collaboration of Dynamic Case Knowledge Base., , , and . WETICE, page 156-161. IEEE Computer Society, (2011)Error Exponents for Channel Coding With Application to Signal Constellation Design., , and . IEEE Journal on Selected Areas in Communications, 24 (8): 1647-1661 (2006)Predicting the active period of popularity evolution: A case study on Twitter hashtags., , , , and . Inf. Sci., (2020)A programming language approach for context-aware mashups., , , , and . Mashups, page 4:1-4:5. ACM, (2010)Burst Hotspots Dynamic Detection and Tracking on Large-Scale Text Stream., , , , and . IEEE Access, (2019)