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Conversation Level Constraints on Pedophile Detection in Chat Rooms.

, , , and . CLEF (Online Working Notes/Labs/Workshop), volume 1178 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)

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Conversation Level Constraints on Pedophile Detection in Chat Rooms., , , and . CLEF (Online Working Notes/Labs/Workshop), volume 1178 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach., , , , and . EuroS&P Workshops, page 227-238. IEEE, (2021)Detecting deceptive behaviour in the wild: text mining for online child protection in the presence of noisy and adversarial social media communications.. Lancaster University, UK, (2018)British Library, EThOS.Automatically Dismantling Online Dating Fraud., , , , , and . CoRR, (2019)Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets., , and . eCrime, page 1-12. IEEE, (2021)AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet., , , , and . IEEE BigData, page 2516-2524. IEEE, (2021)Scamming the Scammers: Towards Automatic Detection of Persuasion in Advance Fee Frauds., , and . WWW (Companion Volume), page 1291-1299. ACM, (2017)The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language., , , , , , , , and . LREC, page 1569-1572. European Language Resources Association (ELRA), (2012)Predicting age and gender in online social networks., , and . SMUC, page 37-44. ACM, (2011)Ethical and Social Challenges with developing Automated Methods to Detect and Warn potential victims of Mass-marketing Fraud (MMF)., , , , , , , and . WWW (Companion Volume), page 1311-1314. ACM, (2017)