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Epistemic uncertainties and natural hazard risk assessment – Part~2: What should constitute good practice?

, , , , , , , , , , , and . Natural Hazards and Earth System Sciences, 18 (10): 2769--2783 (October 2018)
DOI: 10.5194/nhess-18-2769-2018

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Scalable Misinformation Prevention in Social Networks., , and . CoRR, (2018)Clearing Contamination in Large Networks., , and . IEEE Trans. Knowl. Data Eng., 28 (6): 1435-1448 (2016)Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties., , and . Proc. VLDB Endow., 15 (10): 2216-2229 (2022)Efficient Computation of Feedback Arc Set at Web-Scale., , and . Proc. VLDB Endow., 10 (3): 133-144 (2016)Scalable Misinformation Mitigation in Social Networks Using Reverse Sampling., , and . Comput. J., 66 (9): 2230-2253 (September 2023)Clearing contamination in large networks., , and . ASONAM, page 425-428. IEEE Computer Society, (2014)Epistemic uncertainties and natural hazard risk assessment – Part~2: What should constitute good practice?, , , , , , , , , and 2 other author(s). Natural Hazards and Earth System Sciences, 18 (10): 2769--2783 (October 2018)Combating Fake News: A Data Management and Mining Perspective., , and . Proc. VLDB Endow., 12 (12): 1990-1993 (2019)Using APL as a preprocessing selector from large VSAM files.. APL, page 297-302. ACM, (1984)To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News., , and . SIGMOD Conference, page 2300-2309. ACM, (2021)