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Identifying disgruntled employee systems fraud risk through text mining : a simple solution for a multi-billion dollar problem
Holton, Carolyn - In: Decision support systems : DSS ; the international journal 46 (2008/09) 4, pp. 853-864
Persistent link: https://www.econbiz.de/10003834839
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Analyzing Financial Fraud Cases Using a Linguistics-Based Text Mining Approach
Zaki, Mohamed - 2013
manipulation events and actions from the actual SEC complaint fraud case. In order to extract these concepts, this paper used the … financial ontology for fraud purposes introduced by [17] to provide underlying framework for the extraction process and capture … financial fraud concepts from the SEC litigation releases.Domain-specificity is incorporated through the development of …
Persistent link: https://www.econbiz.de/10013073023
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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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Business process research: a cross-disciplinary review
Sidorova, Anna; Isik, Oyku - In: Business process management journal 16 (2010) 4, pp. 566-597
Persistent link: https://www.econbiz.de/10008648064
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Leveraging process discovery with trace clustering and text mining for intelligent analysis of incident management processes
De Weerdt, Jochen; Broucke, Seppe K. L. M. vanden; … - 2012
Persistent link: https://www.econbiz.de/10009673594
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The use of latent semantic analysis in operations management research
Kulkarni, Shailesh S.; Apte, Uday M.; Evangelopoulos, … - In: Decision sciences : DS 45 (2014) 5, pp. 971-994
Persistent link: https://www.econbiz.de/10010465140
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Extracting feelings of people regarding COVID-19 by social network mining
Vahdat-Nejad, Hamed; Salmani, Fatemeh; Hajiabadi, Mahdi; … - In: Journal of information & knowledge management : JIKM 21 (2022) 1, pp. 2240008-1-2240008-16
Persistent link: https://www.econbiz.de/10013269832
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How AI is changing operations : from settlement optimisation to automating risk monitoring
Brownlee, Tony; Sommerfeld, Jesse; Hansen, Kyle - In: Journal of securities operations & custody 12 (2020) 2, pp. 102-115
Persistent link: https://www.econbiz.de/10012249218
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A framework for interfacing unstructured data into business process from enterprise social networks
Al-Thuhli, Amjed; Al-Badawi, Mohammed; Baghdadi, Youcef; … - In: International journal of enterprise information systems … 13 (2017) 4, pp. 15-30
Persistent link: https://www.econbiz.de/10011780915
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Automated text mining process for corporate risk analysis and management
Hsu, Ming-Fu; Chang, Chingho; Zeng, Jhih‐Hong - In: Risk management : an international journal 24 (2022) 4, pp. 386-419
Persistent link: https://www.econbiz.de/10013464193