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  • Search: subject:"detecting fraudulent patterns"
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Year of publication
Subject
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association rule mining 2 detecting fraudulent patterns 2 financial statement 2 Bergbau 1 Data Mining 1 Data mining 1 Financial statement 1 Innovation 1 Jahresabschluss 1 Mining 1 discretization 1 discretization;innovation 1 innovation 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Sawangarreerak, Siriporn 2 Thanathamathee, Putthiporn 2
Published in...
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Journal of Open Innovation: Technology, Market, and Complexity 1 Journal of open innovation : technology, market, and complexity 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Detecting and analyzing fraudulent patterns of financial statement for open innovation using discretization and association rule mining
Sawangarreerak, Siriporn; Thanathamathee, Putthiporn - In: Journal of Open Innovation: Technology, Market, and … 7 (2021) 2, pp. 1-20
Identifying fraudulent financial statements is important in open innovation to help users analyze financial statements and make investment decisions. It also helps users be aware of the occurrence of fraud in financial statements by considering the associated pattern. This study aimed to find...
Persistent link: https://www.econbiz.de/10012620636
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Cover Image
Detecting and analyzing fraudulent patterns of financial statement for open innovation using discretization and association rule mining
Sawangarreerak, Siriporn; Thanathamathee, Putthiporn - In: Journal of open innovation : technology, market, and … 7 (2021) 2, pp. 1-20
Identifying fraudulent financial statements is important in open innovation to help users analyze financial statements and make investment decisions. It also helps users be aware of the occurrence of fraud in financial statements by considering the associated pattern. This study aimed to find...
Persistent link: https://www.econbiz.de/10012601049
Saved in:
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