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Special issue: Enterprise risk and security management : data, text and Web mining
Chen, Hsinchun (contributor) - 2011
Persistent link: https://www.econbiz.de/10008860131
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Linking exploits from the Dark Web to known vulnerabilities for proactive cyber threat intelligence : an attention-based deep structured semantic model
Samtani, Sagar; Chai, Yidong; Chen, Hsinchun - In: MIS quarterly 46 (2022) 2, pp. 911-946
Persistent link: https://www.econbiz.de/10013286533
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Cross-lingual cybersecurity analytics in the international dark web with adversarial deep representation learning
Ebrahimi, Mohammadreza; Chai, Yidong; Samtani, Sagar; … - In: MIS quarterly 46 (2022) 2, pp. 1209-1226
Persistent link: https://www.econbiz.de/10013286594
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Identifying and profiling key sellers in cyber carding community : AZSecure text mining system
Li, Weifeng; Chen, Hsinchun; Nunamaker, Jay F. - In: Journal of management information systems : JMIS 33 (2016) 4, pp. 1059-1086
Persistent link: https://www.econbiz.de/10011664638
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Healthcare predictive analytics for risk profiling in chronic care : a Bayesian multitask learning approach
Lin, Yu-Kai; Chen, Hsinchun; Brown, Randall A.; Li, … - In: Management information systems : mis quarterly 41 (2017) 2, pp. 473-495
Persistent link: https://www.econbiz.de/10011689881
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Do electronic health records affect quality of care? : evidence from the HITECH Act
Lin, Yu-Kai; Lin, Mingfeng; Chen, Hsinchun - In: Information systems research : ISR 30 (2019) 1, pp. 306-318
Persistent link: https://www.econbiz.de/10012038229
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Exploring emerging hacker assets and key hackers for proactive cyber threat intelligence
Samtani, Sagar; Chinn, Ryan; Chen, Hsinchun; Nunamaker, … - In: Journal of management information systems : JMIS 34 (2017) 4, pp. 1023-1053
Persistent link: https://www.econbiz.de/10011803432
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Improving threat mitigation through a cybersecurity risk management framework : a computational design science approach
Ampel, Benjamin M.; Samtani, Sagar; Zhu, Hongyi; Chen, … - In: Journal of management information systems : JMIS 41 (2024) 1, pp. 236-265
Persistent link: https://www.econbiz.de/10014582679