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You searched for subject:(Fraud Detection). Showing records 1 – 30 of 96 total matches.

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University of Nairobi

1. Koiser, Nicholas. Toll fraud detection in voip networks using artificial neural networks .

Degree: 2016, University of Nairobi

 Toll fraud occurs whenever a perpetrator uses deception or dishonest means with the intention to receive telephony services free of charge or at a reduced… (more)

Subjects/Keywords: Fraud Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Koiser, N. (2016). Toll fraud detection in voip networks using artificial neural networks . (Thesis). University of Nairobi. Retrieved from http://hdl.handle.net/11295/97301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Koiser, Nicholas. “Toll fraud detection in voip networks using artificial neural networks .” 2016. Thesis, University of Nairobi. Accessed October 25, 2020. http://hdl.handle.net/11295/97301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Koiser, Nicholas. “Toll fraud detection in voip networks using artificial neural networks .” 2016. Web. 25 Oct 2020.

Vancouver:

Koiser N. Toll fraud detection in voip networks using artificial neural networks . [Internet] [Thesis]. University of Nairobi; 2016. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/11295/97301.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Koiser N. Toll fraud detection in voip networks using artificial neural networks . [Thesis]. University of Nairobi; 2016. Available from: http://hdl.handle.net/11295/97301

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

2. Plaisant van der Wal, Renzo (author). The Future of Fraud Detection: Detecting Fraudulent Insurance Claims Using Machine Learning Methods.

Degree: 2018, Delft University of Technology

Machine learning methods are explored in an attempt to achieve better predictive performance than the legacy rule-based fraud detection systems that are currently used to… (more)

Subjects/Keywords: Insurance; Machine Learning; fraud detection; fraud; imbalanced

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APA (6th Edition):

Plaisant van der Wal, R. (. (2018). The Future of Fraud Detection: Detecting Fraudulent Insurance Claims Using Machine Learning Methods. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:935a0d46-2e26-4af5-b308-32b5fe54926b

Chicago Manual of Style (16th Edition):

Plaisant van der Wal, Renzo (author). “The Future of Fraud Detection: Detecting Fraudulent Insurance Claims Using Machine Learning Methods.” 2018. Masters Thesis, Delft University of Technology. Accessed October 25, 2020. http://resolver.tudelft.nl/uuid:935a0d46-2e26-4af5-b308-32b5fe54926b.

MLA Handbook (7th Edition):

Plaisant van der Wal, Renzo (author). “The Future of Fraud Detection: Detecting Fraudulent Insurance Claims Using Machine Learning Methods.” 2018. Web. 25 Oct 2020.

Vancouver:

Plaisant van der Wal R(. The Future of Fraud Detection: Detecting Fraudulent Insurance Claims Using Machine Learning Methods. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2020 Oct 25]. Available from: http://resolver.tudelft.nl/uuid:935a0d46-2e26-4af5-b308-32b5fe54926b.

Council of Science Editors:

Plaisant van der Wal R(. The Future of Fraud Detection: Detecting Fraudulent Insurance Claims Using Machine Learning Methods. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:935a0d46-2e26-4af5-b308-32b5fe54926b


California State Polytechnic University – Pomona

3. Shah, Hetsi Bharatkumar. Comparing Machine Learning Algorithms For Credit Card Fraud Detection.

Degree: MS, Department of Computer Science, 2020, California State Polytechnic University – Pomona

 Credit cards are used to a great extent all over the world in our day to day lives. Due to which, credit card frauds are… (more)

Subjects/Keywords: credit card fraud detection

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APA (6th Edition):

Shah, H. B. (2020). Comparing Machine Learning Algorithms For Credit Card Fraud Detection. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/216678

Chicago Manual of Style (16th Edition):

Shah, Hetsi Bharatkumar. “Comparing Machine Learning Algorithms For Credit Card Fraud Detection.” 2020. Masters Thesis, California State Polytechnic University – Pomona. Accessed October 25, 2020. http://hdl.handle.net/10211.3/216678.

MLA Handbook (7th Edition):

Shah, Hetsi Bharatkumar. “Comparing Machine Learning Algorithms For Credit Card Fraud Detection.” 2020. Web. 25 Oct 2020.

Vancouver:

Shah HB. Comparing Machine Learning Algorithms For Credit Card Fraud Detection. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2020. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10211.3/216678.

Council of Science Editors:

Shah HB. Comparing Machine Learning Algorithms For Credit Card Fraud Detection. [Masters Thesis]. California State Polytechnic University – Pomona; 2020. Available from: http://hdl.handle.net/10211.3/216678


Delft University of Technology

4. Brands, Thijs (author). PaDAWaNS: Proactive Domain Abuse Warning and Notification System.

Degree: 2019, Delft University of Technology

The counterfeit market is rapidly expanding into the online realm. Large amounts of fraudulent webshops advertise luxury clothing and fashion accessories, but ship counterfeit products… (more)

Subjects/Keywords: fraud detection; cybersecurity; Internet

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APA (6th Edition):

Brands, T. (. (2019). PaDAWaNS: Proactive Domain Abuse Warning and Notification System. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3

Chicago Manual of Style (16th Edition):

Brands, Thijs (author). “PaDAWaNS: Proactive Domain Abuse Warning and Notification System.” 2019. Masters Thesis, Delft University of Technology. Accessed October 25, 2020. http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3.

MLA Handbook (7th Edition):

Brands, Thijs (author). “PaDAWaNS: Proactive Domain Abuse Warning and Notification System.” 2019. Web. 25 Oct 2020.

Vancouver:

Brands T(. PaDAWaNS: Proactive Domain Abuse Warning and Notification System. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Oct 25]. Available from: http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3.

Council of Science Editors:

Brands T(. PaDAWaNS: Proactive Domain Abuse Warning and Notification System. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:7c308b9f-37ff-43ac-bac3-58da4ad475a3


North-West University

5. Roberts, Terisa. The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts .

Degree: 2011, North-West University

 The use of analytical techniques for fraud detection and the design of fraud detection systems have been topics of several research projects in the past… (more)

Subjects/Keywords: Insurance fraud; Claims fraud; Fraud detection; Scorecard design; Weights of evidence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Roberts, T. (2011). The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/10347

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Roberts, Terisa. “The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts .” 2011. Thesis, North-West University. Accessed October 25, 2020. http://hdl.handle.net/10394/10347.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Roberts, Terisa. “The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts .” 2011. Web. 25 Oct 2020.

Vancouver:

Roberts T. The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts . [Internet] [Thesis]. North-West University; 2011. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10394/10347.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Roberts T. The use of credit scorecard design, predictive modelling and text mining to detect fraud in the insurance industry / Terisa Roberts . [Thesis]. North-West University; 2011. Available from: http://hdl.handle.net/10394/10347

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

6. Μπενέτου, Ξανθή. Μεθοδολογία ανίχνευσης απάτης μέσω διαχείρισης πληροφοριών βασισμένη σε μοντέλο οντολογίας.

Degree: 2009, University of Patras

Τα φαινόμενα απάτης τείνουν να κυριαρχήσουν τις τελευταίες δεκαετίες σε κάθε τομέα. Ένας τομέας που πλήττεται ιδιαίτερα στις μέρες μας είναι αυτός της υγειονομικής περίθαλψης… (more)

Subjects/Keywords: Οντολογίες; Ανίχνευση απάτης; 364.163; Ontologies; Fraud detection

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APA (6th Edition):

Μπενέτου, . (2009). Μεθοδολογία ανίχνευσης απάτης μέσω διαχείρισης πληροφοριών βασισμένη σε μοντέλο οντολογίας. (Doctoral Dissertation). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/2384

Chicago Manual of Style (16th Edition):

Μπενέτου, Ξανθή. “Μεθοδολογία ανίχνευσης απάτης μέσω διαχείρισης πληροφοριών βασισμένη σε μοντέλο οντολογίας.” 2009. Doctoral Dissertation, University of Patras. Accessed October 25, 2020. http://nemertes.lis.upatras.gr/jspui/handle/10889/2384.

MLA Handbook (7th Edition):

Μπενέτου, Ξανθή. “Μεθοδολογία ανίχνευσης απάτης μέσω διαχείρισης πληροφοριών βασισμένη σε μοντέλο οντολογίας.” 2009. Web. 25 Oct 2020.

Vancouver:

Μπενέτου . Μεθοδολογία ανίχνευσης απάτης μέσω διαχείρισης πληροφοριών βασισμένη σε μοντέλο οντολογίας. [Internet] [Doctoral dissertation]. University of Patras; 2009. [cited 2020 Oct 25]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2384.

Council of Science Editors:

Μπενέτου . Μεθοδολογία ανίχνευσης απάτης μέσω διαχείρισης πληροφοριών βασισμένη σε μοντέλο οντολογίας. [Doctoral Dissertation]. University of Patras; 2009. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2384


University of Ballarat

7. Maruatona, Omaru. Internet banking fraud detection using prudent analysis.

Degree: PhD, 2013, University of Ballarat

The threat posed by cybercrime to individuals, banks and other online financial service providers is real and serious. Through phishing, unsuspecting victims’ Internet banking usernames… (more)

Subjects/Keywords: Fraud detection; Online banking; Prudence; RDM

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Maruatona, O. (2013). Internet banking fraud detection using prudent analysis. (Doctoral Dissertation). University of Ballarat. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/59631

Chicago Manual of Style (16th Edition):

Maruatona, Omaru. “Internet banking fraud detection using prudent analysis.” 2013. Doctoral Dissertation, University of Ballarat. Accessed October 25, 2020. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/59631.

MLA Handbook (7th Edition):

Maruatona, Omaru. “Internet banking fraud detection using prudent analysis.” 2013. Web. 25 Oct 2020.

Vancouver:

Maruatona O. Internet banking fraud detection using prudent analysis. [Internet] [Doctoral dissertation]. University of Ballarat; 2013. [cited 2020 Oct 25]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/59631.

Council of Science Editors:

Maruatona O. Internet banking fraud detection using prudent analysis. [Doctoral Dissertation]. University of Ballarat; 2013. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/59631


University of Technology, Sydney

8. Li, J. Contrast mining in large class imbalance data.

Degree: 2013, University of Technology, Sydney

 Class imbalance data, in which the classes are not equally represented and the minority classes include a much smaller number of examples than other classes,… (more)

Subjects/Keywords: Contrast pattern.; Anomaly detection.; Feature mining.; Fraud detection.

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APA (6th Edition):

Li, J. (2013). Contrast mining in large class imbalance data. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/23468

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, J. “Contrast mining in large class imbalance data.” 2013. Thesis, University of Technology, Sydney. Accessed October 25, 2020. http://hdl.handle.net/10453/23468.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, J. “Contrast mining in large class imbalance data.” 2013. Web. 25 Oct 2020.

Vancouver:

Li J. Contrast mining in large class imbalance data. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10453/23468.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li J. Contrast mining in large class imbalance data. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/23468

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Oliveira, Rossimar Laura. Gestão de fraudes financeiras externas em bancos.

Degree: Mestrado, Administração de Organizações, 2012, University of São Paulo

Segundo relatório da auditoria KPMG, 69% das empresas admitiram ser vítimas de algum tipo de fraude. Em 2010, no setor bancário foram perdidos aproximadamente R… (more)

Subjects/Keywords: Bancos; Banks; Fraud; Fraud Management; Fraude Financeira; Gestão de Fraude; Prevenção e Detecção de Fraudes; Prevention and Fraud Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Oliveira, R. L. (2012). Gestão de fraudes financeiras externas em bancos. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/96/96132/tde-21122012-111004/ ;

Chicago Manual of Style (16th Edition):

Oliveira, Rossimar Laura. “Gestão de fraudes financeiras externas em bancos.” 2012. Masters Thesis, University of São Paulo. Accessed October 25, 2020. http://www.teses.usp.br/teses/disponiveis/96/96132/tde-21122012-111004/ ;.

MLA Handbook (7th Edition):

Oliveira, Rossimar Laura. “Gestão de fraudes financeiras externas em bancos.” 2012. Web. 25 Oct 2020.

Vancouver:

Oliveira RL. Gestão de fraudes financeiras externas em bancos. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2020 Oct 25]. Available from: http://www.teses.usp.br/teses/disponiveis/96/96132/tde-21122012-111004/ ;.

Council of Science Editors:

Oliveira RL. Gestão de fraudes financeiras externas em bancos. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/96/96132/tde-21122012-111004/ ;

10. Elmir, Ahmad. PaySim Financial Simulator : PaySim Financial Simulator.

Degree: 2016, , Department of Computer Science and Engineering

  The lack of legitimate datasets on mobile money transactions toperform research on in the domain of fraud detection is a big prob-lem today in… (more)

Subjects/Keywords: multi-agent based simulation; fraud detection; retail fraud; synthetic data; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Elmir, A. (2016). PaySim Financial Simulator : PaySim Financial Simulator. (Thesis). , Department of Computer Science and Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Elmir, Ahmad. “PaySim Financial Simulator : PaySim Financial Simulator.” 2016. Thesis, , Department of Computer Science and Engineering. Accessed October 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Elmir, Ahmad. “PaySim Financial Simulator : PaySim Financial Simulator.” 2016. Web. 25 Oct 2020.

Vancouver:

Elmir A. PaySim Financial Simulator : PaySim Financial Simulator. [Internet] [Thesis]. , Department of Computer Science and Engineering; 2016. [cited 2020 Oct 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Elmir A. PaySim Financial Simulator : PaySim Financial Simulator. [Thesis]. , Department of Computer Science and Engineering; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

11. Jóhannsson, Jökull. Detecting fraudulent users using behaviour analysis.

Degree: Electrical Engineering and Computer Science (EECS), 2017, KTH

With the increased global use of online media platforms, there are more opportunities than ever to misuse those platforms or perpetrate fraud. One such fraud is… (more)

Subjects/Keywords: fraud; machine learning; random forest; neural network; fraud detection; music; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jóhannsson, J. (2017). Detecting fraudulent users using behaviour analysis. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224196

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jóhannsson, Jökull. “Detecting fraudulent users using behaviour analysis.” 2017. Thesis, KTH. Accessed October 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224196.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jóhannsson, Jökull. “Detecting fraudulent users using behaviour analysis.” 2017. Web. 25 Oct 2020.

Vancouver:

Jóhannsson J. Detecting fraudulent users using behaviour analysis. [Internet] [Thesis]. KTH; 2017. [cited 2020 Oct 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224196.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jóhannsson J. Detecting fraudulent users using behaviour analysis. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224196

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Hradilová, Zuzana. Pojistné podvody: Insurance fraud.

Degree: 2019, Brno University of Technology

 This diploma thesis deals with problems of insurance fraud in the Czech Republic. The thesis is decided into the several separate parts. The teoretical part… (more)

Subjects/Keywords: Pojištění; pojistný podvod; odhalování pojistného podvodu; prevence; Insurance; insurance fraud; detection of insurance fraud; prevention

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hradilová, Z. (2019). Pojistné podvody: Insurance fraud. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/33884

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hradilová, Zuzana. “Pojistné podvody: Insurance fraud.” 2019. Thesis, Brno University of Technology. Accessed October 25, 2020. http://hdl.handle.net/11012/33884.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hradilová, Zuzana. “Pojistné podvody: Insurance fraud.” 2019. Web. 25 Oct 2020.

Vancouver:

Hradilová Z. Pojistné podvody: Insurance fraud. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/11012/33884.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hradilová Z. Pojistné podvody: Insurance fraud. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/33884

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


De Montfort University

13. Efiong, Eme Joel. An exploration of forensic accounting education and practice for fraud prevention and detection in Nigeria.

Degree: PhD, 2013, De Montfort University

 Whereas the problem of fraud is a global one, the rate and extent to which it is perpetrated in Nigeria, particularly in the public sector,… (more)

Subjects/Keywords: 363.25; Forensic accounting; Fraud prevention; Fraud detection; Forensic accounting education; Forensic accounting in Nigeria

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Efiong, E. J. (2013). An exploration of forensic accounting education and practice for fraud prevention and detection in Nigeria. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/10118

Chicago Manual of Style (16th Edition):

Efiong, Eme Joel. “An exploration of forensic accounting education and practice for fraud prevention and detection in Nigeria.” 2013. Doctoral Dissertation, De Montfort University. Accessed October 25, 2020. http://hdl.handle.net/2086/10118.

MLA Handbook (7th Edition):

Efiong, Eme Joel. “An exploration of forensic accounting education and practice for fraud prevention and detection in Nigeria.” 2013. Web. 25 Oct 2020.

Vancouver:

Efiong EJ. An exploration of forensic accounting education and practice for fraud prevention and detection in Nigeria. [Internet] [Doctoral dissertation]. De Montfort University; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/2086/10118.

Council of Science Editors:

Efiong EJ. An exploration of forensic accounting education and practice for fraud prevention and detection in Nigeria. [Doctoral Dissertation]. De Montfort University; 2013. Available from: http://hdl.handle.net/2086/10118


San Jose State University

14. Srivastava, Apoorva. REAL-TIME AD CLICK FRAUD DETECTION.

Degree: MS, Computer Science, 2020, San Jose State University

  With the increase in Internet usage, it is now considered a very important platform for advertising and marketing. Digital marketing has become very important… (more)

Subjects/Keywords: Digital marketing; Online advertising; Click fraud detection; Ad Spam; Real-time fraud detection; Artificial Intelligence and Robotics; Information Security

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Srivastava, A. (2020). REAL-TIME AD CLICK FRAUD DETECTION. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/916

Chicago Manual of Style (16th Edition):

Srivastava, Apoorva. “REAL-TIME AD CLICK FRAUD DETECTION.” 2020. Masters Thesis, San Jose State University. Accessed October 25, 2020. https://scholarworks.sjsu.edu/etd_projects/916.

MLA Handbook (7th Edition):

Srivastava, Apoorva. “REAL-TIME AD CLICK FRAUD DETECTION.” 2020. Web. 25 Oct 2020.

Vancouver:

Srivastava A. REAL-TIME AD CLICK FRAUD DETECTION. [Internet] [Masters thesis]. San Jose State University; 2020. [cited 2020 Oct 25]. Available from: https://scholarworks.sjsu.edu/etd_projects/916.

Council of Science Editors:

Srivastava A. REAL-TIME AD CLICK FRAUD DETECTION. [Masters Thesis]. San Jose State University; 2020. Available from: https://scholarworks.sjsu.edu/etd_projects/916


Liberty University

15. Gibson, Mary. An Analysis of Fraud Prevention and Detection in Not-for-Profit Organizations in the State of South Carolina.

Degree: 2018, Liberty University

 This study analyzed fraud detection and prevention techniques and analyzed if there was a relationship between the techniques and the detection of fraud. The combined… (more)

Subjects/Keywords: Accounting; Fraud; Fraud Detection; Fraud Prevention; Fraud Triangle; Nonprofit; Business; Business Administration, Management, and Operations; Business Law, Public Responsibility, and Ethics; Other Business

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gibson, M. (2018). An Analysis of Fraud Prevention and Detection in Not-for-Profit Organizations in the State of South Carolina. (Doctoral Dissertation). Liberty University. Retrieved from https://digitalcommons.liberty.edu/doctoral/1798

Chicago Manual of Style (16th Edition):

Gibson, Mary. “An Analysis of Fraud Prevention and Detection in Not-for-Profit Organizations in the State of South Carolina.” 2018. Doctoral Dissertation, Liberty University. Accessed October 25, 2020. https://digitalcommons.liberty.edu/doctoral/1798.

MLA Handbook (7th Edition):

Gibson, Mary. “An Analysis of Fraud Prevention and Detection in Not-for-Profit Organizations in the State of South Carolina.” 2018. Web. 25 Oct 2020.

Vancouver:

Gibson M. An Analysis of Fraud Prevention and Detection in Not-for-Profit Organizations in the State of South Carolina. [Internet] [Doctoral dissertation]. Liberty University; 2018. [cited 2020 Oct 25]. Available from: https://digitalcommons.liberty.edu/doctoral/1798.

Council of Science Editors:

Gibson M. An Analysis of Fraud Prevention and Detection in Not-for-Profit Organizations in the State of South Carolina. [Doctoral Dissertation]. Liberty University; 2018. Available from: https://digitalcommons.liberty.edu/doctoral/1798

16. Rowson, David. The problem with fraudulent solicitors : issues of trust, investigation and the self-regulation of the legal profession.

Degree: PhD, 2009, Teesside University

Subjects/Keywords: 658; fraud; crime; cost of fraud; forgery; detection of fraud; investigating fraud; solicitors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rowson, D. (2009). The problem with fraudulent solicitors : issues of trust, investigation and the self-regulation of the legal profession. (Doctoral Dissertation). Teesside University. Retrieved from https://research.tees.ac.uk/en/studentTheses/0f60b174-c297-489d-8389-3812b36dc9a3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526679

Chicago Manual of Style (16th Edition):

Rowson, David. “The problem with fraudulent solicitors : issues of trust, investigation and the self-regulation of the legal profession.” 2009. Doctoral Dissertation, Teesside University. Accessed October 25, 2020. https://research.tees.ac.uk/en/studentTheses/0f60b174-c297-489d-8389-3812b36dc9a3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526679.

MLA Handbook (7th Edition):

Rowson, David. “The problem with fraudulent solicitors : issues of trust, investigation and the self-regulation of the legal profession.” 2009. Web. 25 Oct 2020.

Vancouver:

Rowson D. The problem with fraudulent solicitors : issues of trust, investigation and the self-regulation of the legal profession. [Internet] [Doctoral dissertation]. Teesside University; 2009. [cited 2020 Oct 25]. Available from: https://research.tees.ac.uk/en/studentTheses/0f60b174-c297-489d-8389-3812b36dc9a3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526679.

Council of Science Editors:

Rowson D. The problem with fraudulent solicitors : issues of trust, investigation and the self-regulation of the legal profession. [Doctoral Dissertation]. Teesside University; 2009. Available from: https://research.tees.ac.uk/en/studentTheses/0f60b174-c297-489d-8389-3812b36dc9a3 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526679

17. Jurgovsky, Johannes. Context-aware credit card fraud detection : Détection de fraude par carte de crédit en fonction du contexte.

Degree: Docteur es, Informatique, 2019, Lyon; Universität Passau (Deutscheland)

La fraude par carte de crédit est devenue un problème majeur dans le secteur des paiements électroniques. Dans cette thèse, nous étudions la détection de… (more)

Subjects/Keywords: Détection fraude; Carte de crédit; Apprentissage automatique; Réseau de neurones; Paiement électronique; Sécurité informatique; Détection de Fraude à la Carte; Fraud detection; Credit card; Credit card fraud detection; Machine learning; Memory network; Electronic payment; Computer security; Fraud detection; Card fraud detection; Information Technology; 005.840 72

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jurgovsky, J. (2019). Context-aware credit card fraud detection : Détection de fraude par carte de crédit en fonction du contexte. (Doctoral Dissertation). Lyon; Universität Passau (Deutscheland). Retrieved from http://www.theses.fr/2019LYSEI109

Chicago Manual of Style (16th Edition):

Jurgovsky, Johannes. “Context-aware credit card fraud detection : Détection de fraude par carte de crédit en fonction du contexte.” 2019. Doctoral Dissertation, Lyon; Universität Passau (Deutscheland). Accessed October 25, 2020. http://www.theses.fr/2019LYSEI109.

MLA Handbook (7th Edition):

Jurgovsky, Johannes. “Context-aware credit card fraud detection : Détection de fraude par carte de crédit en fonction du contexte.” 2019. Web. 25 Oct 2020.

Vancouver:

Jurgovsky J. Context-aware credit card fraud detection : Détection de fraude par carte de crédit en fonction du contexte. [Internet] [Doctoral dissertation]. Lyon; Universität Passau (Deutscheland); 2019. [cited 2020 Oct 25]. Available from: http://www.theses.fr/2019LYSEI109.

Council of Science Editors:

Jurgovsky J. Context-aware credit card fraud detection : Détection de fraude par carte de crédit en fonction du contexte. [Doctoral Dissertation]. Lyon; Universität Passau (Deutscheland); 2019. Available from: http://www.theses.fr/2019LYSEI109

18. Marujo, Teodoro Gonçalves Neto da Silva. A apropriação indevida de ativos - A problemática do risco e sua perceção no âmbito dos planos de prevenção de riscos de corrupção e infrações conexas no Setor Público Empresarial.

Degree: 2014, Repositório Científico do Instituto Politécnico de Lisboa

Mestrado em Auditoria

A consideração da fraude, e em particular da apropriação indevida de ativos, como tema central da dissertação, decorre da convicção da sua… (more)

Subjects/Keywords: Fraude; Auditoria; Prevenção; Deteção; Auditor; Asset Misappropriation; Fraud; Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Marujo, T. G. N. d. S. (2014). A apropriação indevida de ativos - A problemática do risco e sua perceção no âmbito dos planos de prevenção de riscos de corrupção e infrações conexas no Setor Público Empresarial. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/4210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Marujo, Teodoro Gonçalves Neto da Silva. “A apropriação indevida de ativos - A problemática do risco e sua perceção no âmbito dos planos de prevenção de riscos de corrupção e infrações conexas no Setor Público Empresarial.” 2014. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed October 25, 2020. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/4210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Marujo, Teodoro Gonçalves Neto da Silva. “A apropriação indevida de ativos - A problemática do risco e sua perceção no âmbito dos planos de prevenção de riscos de corrupção e infrações conexas no Setor Público Empresarial.” 2014. Web. 25 Oct 2020.

Vancouver:

Marujo TGNdS. A apropriação indevida de ativos - A problemática do risco e sua perceção no âmbito dos planos de prevenção de riscos de corrupção e infrações conexas no Setor Público Empresarial. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2014. [cited 2020 Oct 25]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/4210.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Marujo TGNdS. A apropriação indevida de ativos - A problemática do risco e sua perceção no âmbito dos planos de prevenção de riscos de corrupção e infrações conexas no Setor Público Empresarial. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2014. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/4210

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Wollongong

19. McCormack, Bernadette. Enhancing the fraud detection skills of audit students using problem-based learning.

Degree: PhD, Faculty of Commerce, 2013, University of Wollongong

  Despite extensive audit research relating to professional scepticism, ambiguity tolerance, judgement and decision making in the fraud domain, fraud detection rates by auditors remain… (more)

Subjects/Keywords: fraud detection; audit; problem-based learning; experiential learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

McCormack, B. (2013). Enhancing the fraud detection skills of audit students using problem-based learning. (Doctoral Dissertation). University of Wollongong. Retrieved from 1501 ACCOUNTING, AUDITING AND ACCOUNTABILITY ; https://ro.uow.edu.au/theses/4094

Chicago Manual of Style (16th Edition):

McCormack, Bernadette. “Enhancing the fraud detection skills of audit students using problem-based learning.” 2013. Doctoral Dissertation, University of Wollongong. Accessed October 25, 2020. 1501 ACCOUNTING, AUDITING AND ACCOUNTABILITY ; https://ro.uow.edu.au/theses/4094.

MLA Handbook (7th Edition):

McCormack, Bernadette. “Enhancing the fraud detection skills of audit students using problem-based learning.” 2013. Web. 25 Oct 2020.

Vancouver:

McCormack B. Enhancing the fraud detection skills of audit students using problem-based learning. [Internet] [Doctoral dissertation]. University of Wollongong; 2013. [cited 2020 Oct 25]. Available from: 1501 ACCOUNTING, AUDITING AND ACCOUNTABILITY ; https://ro.uow.edu.au/theses/4094.

Council of Science Editors:

McCormack B. Enhancing the fraud detection skills of audit students using problem-based learning. [Doctoral Dissertation]. University of Wollongong; 2013. Available from: 1501 ACCOUNTING, AUDITING AND ACCOUNTABILITY ; https://ro.uow.edu.au/theses/4094

20. Kappelin, Frida. Fraud Detection within Mobile Money : A mathematical statistics approach.

Degree: 2015, , Department of Computer Science and Engineering

  Context: Today it is easy to do banking transaction digitally, both on a computer or by using a mobile phone. As the banking-services increases… (more)

Subjects/Keywords: Fraud detection; Benford's law; quantiles; Mobile Money; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kappelin, F. (2015). Fraud Detection within Mobile Money : A mathematical statistics approach. (Thesis). , Department of Computer Science and Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10898

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kappelin, Frida. “Fraud Detection within Mobile Money : A mathematical statistics approach.” 2015. Thesis, , Department of Computer Science and Engineering. Accessed October 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10898.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kappelin, Frida. “Fraud Detection within Mobile Money : A mathematical statistics approach.” 2015. Web. 25 Oct 2020.

Vancouver:

Kappelin F. Fraud Detection within Mobile Money : A mathematical statistics approach. [Internet] [Thesis]. , Department of Computer Science and Engineering; 2015. [cited 2020 Oct 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10898.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kappelin F. Fraud Detection within Mobile Money : A mathematical statistics approach. [Thesis]. , Department of Computer Science and Engineering; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10898

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

21. Domingues, Rémi. Machine Learning for Unsupervised Fraud Detection.

Degree: Computer Science and Communication (CSC), 2015, KTH

Fraud is a threat that most online service providers must address in the development of their systems to ensure an efficient security policy and… (more)

Subjects/Keywords: Machine Learning; Fraud Detection; unsupervised; Python; Spark; MongoDB

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Domingues, R. (2015). Machine Learning for Unsupervised Fraud Detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181027

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Domingues, Rémi. “Machine Learning for Unsupervised Fraud Detection.” 2015. Thesis, KTH. Accessed October 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181027.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Domingues, Rémi. “Machine Learning for Unsupervised Fraud Detection.” 2015. Web. 25 Oct 2020.

Vancouver:

Domingues R. Machine Learning for Unsupervised Fraud Detection. [Internet] [Thesis]. KTH; 2015. [cited 2020 Oct 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181027.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Domingues R. Machine Learning for Unsupervised Fraud Detection. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181027

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

22. Hendriksen, H. (author). Streaming Fraud Detection on Session Based Data.

Degree: 2016, Delft University of Technology

Financial fraud is, within the banking world, a major source of expenses. Improving on timely detecting fraud is a constantly ongoing cat and mouse game… (more)

Subjects/Keywords: Process Mining; Real time; Fraud; Intrusion Detection; KDD '99; Click log

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hendriksen, H. (. (2016). Streaming Fraud Detection on Session Based Data. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0

Chicago Manual of Style (16th Edition):

Hendriksen, H (author). “Streaming Fraud Detection on Session Based Data.” 2016. Masters Thesis, Delft University of Technology. Accessed October 25, 2020. http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0.

MLA Handbook (7th Edition):

Hendriksen, H (author). “Streaming Fraud Detection on Session Based Data.” 2016. Web. 25 Oct 2020.

Vancouver:

Hendriksen H(. Streaming Fraud Detection on Session Based Data. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Oct 25]. Available from: http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0.

Council of Science Editors:

Hendriksen H(. Streaming Fraud Detection on Session Based Data. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:7c73ded2-1669-4f48-9865-5eddc3a20ab0


Delft University of Technology

23. Clerx, Miriam (author). Using Social Network Analysis for Fraud Detection: Tracing the Path from Data to Value.

Degree: 2019, Delft University of Technology

 Facing the age of digitalisation, inspectorates are changing their way of working using a risk-oriented and data-driven approach. Social Network Analysis (SNA) seems to be… (more)

Subjects/Keywords: Social Network Analysis; Fraud Detection; Public Decision-making; Big Data Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Clerx, M. (. (2019). Using Social Network Analysis for Fraud Detection: Tracing the Path from Data to Value. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5662ef20-f05c-440f-b0b0-20f623a6d43e

Chicago Manual of Style (16th Edition):

Clerx, Miriam (author). “Using Social Network Analysis for Fraud Detection: Tracing the Path from Data to Value.” 2019. Masters Thesis, Delft University of Technology. Accessed October 25, 2020. http://resolver.tudelft.nl/uuid:5662ef20-f05c-440f-b0b0-20f623a6d43e.

MLA Handbook (7th Edition):

Clerx, Miriam (author). “Using Social Network Analysis for Fraud Detection: Tracing the Path from Data to Value.” 2019. Web. 25 Oct 2020.

Vancouver:

Clerx M(. Using Social Network Analysis for Fraud Detection: Tracing the Path from Data to Value. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Oct 25]. Available from: http://resolver.tudelft.nl/uuid:5662ef20-f05c-440f-b0b0-20f623a6d43e.

Council of Science Editors:

Clerx M(. Using Social Network Analysis for Fraud Detection: Tracing the Path from Data to Value. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:5662ef20-f05c-440f-b0b0-20f623a6d43e


University of Western Ontario

24. Chong, Mimi Mei Ling. Applications of Credit Scoring Models.

Degree: 2016, University of Western Ontario

 The application of credit scoring on consumer lending is an automated, objective and consistent tool which helps lenders to provide quick loan decisions. In order… (more)

Subjects/Keywords: Credit Scoring; Discriminant Analysis; Fraud Detection; Utility; Default; Statistical Models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chong, M. M. L. (2016). Applications of Credit Scoring Models. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4259

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chong, Mimi Mei Ling. “Applications of Credit Scoring Models.” 2016. Thesis, University of Western Ontario. Accessed October 25, 2020. https://ir.lib.uwo.ca/etd/4259.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chong, Mimi Mei Ling. “Applications of Credit Scoring Models.” 2016. Web. 25 Oct 2020.

Vancouver:

Chong MML. Applications of Credit Scoring Models. [Internet] [Thesis]. University of Western Ontario; 2016. [cited 2020 Oct 25]. Available from: https://ir.lib.uwo.ca/etd/4259.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chong MML. Applications of Credit Scoring Models. [Thesis]. University of Western Ontario; 2016. Available from: https://ir.lib.uwo.ca/etd/4259

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

25. Jiang, Nan. Securing large cellular networks via a data oriented approach: applications to SMS spam and voice fraud defenses.

Degree: PhD, Computer Science, 2013, University of Minnesota

 With widespread adoption and growing sophistication of mobile devices, fraudsters have turned their attention from landlines and wired networks to cellular networks. While security threats… (more)

Subjects/Keywords: Cellular network; Data analysis; Fraud detection; Gray space

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jiang, N. (2013). Securing large cellular networks via a data oriented approach: applications to SMS spam and voice fraud defenses. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162677

Chicago Manual of Style (16th Edition):

Jiang, Nan. “Securing large cellular networks via a data oriented approach: applications to SMS spam and voice fraud defenses.” 2013. Doctoral Dissertation, University of Minnesota. Accessed October 25, 2020. http://hdl.handle.net/11299/162677.

MLA Handbook (7th Edition):

Jiang, Nan. “Securing large cellular networks via a data oriented approach: applications to SMS spam and voice fraud defenses.” 2013. Web. 25 Oct 2020.

Vancouver:

Jiang N. Securing large cellular networks via a data oriented approach: applications to SMS spam and voice fraud defenses. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/11299/162677.

Council of Science Editors:

Jiang N. Securing large cellular networks via a data oriented approach: applications to SMS spam and voice fraud defenses. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://hdl.handle.net/11299/162677


Arizona State University

26. Zhou, Ye. A Model Framework to Estimate the Fraud Probability of Acquiring Merchants.

Degree: Business Administration, 2015, Arizona State University

 Using historical data from the third-party payment acquiring industry, I develop a statistical model to predict the probability of fraudulent transactions by the merchants. The… (more)

Subjects/Keywords: Business; Banking; fraud detection; fraudulent transactions; merchant level; transaction level

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhou, Y. (2015). A Model Framework to Estimate the Fraud Probability of Acquiring Merchants. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/29798

Chicago Manual of Style (16th Edition):

Zhou, Ye. “A Model Framework to Estimate the Fraud Probability of Acquiring Merchants.” 2015. Doctoral Dissertation, Arizona State University. Accessed October 25, 2020. http://repository.asu.edu/items/29798.

MLA Handbook (7th Edition):

Zhou, Ye. “A Model Framework to Estimate the Fraud Probability of Acquiring Merchants.” 2015. Web. 25 Oct 2020.

Vancouver:

Zhou Y. A Model Framework to Estimate the Fraud Probability of Acquiring Merchants. [Internet] [Doctoral dissertation]. Arizona State University; 2015. [cited 2020 Oct 25]. Available from: http://repository.asu.edu/items/29798.

Council of Science Editors:

Zhou Y. A Model Framework to Estimate the Fraud Probability of Acquiring Merchants. [Doctoral Dissertation]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/29798


University of Georgia

27. Kazemi Zahrani, Bita. Big data analytic tools to detect fraud in healthcare data.

Degree: 2016, University of Georgia

 Healthcare is a billion dollar industry in United States and worldwide. According to Institute of Medicine, almost 30 cents of any medical dollar, is either… (more)

Subjects/Keywords: healthcare; Statistical and Descriptive Analytics; Big Data Analytics; Fraud Detection; Hadoop

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kazemi Zahrani, B. (2016). Big data analytic tools to detect fraud in healthcare data. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/35356"

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kazemi Zahrani, Bita. “Big data analytic tools to detect fraud in healthcare data.” 2016. Thesis, University of Georgia. Accessed October 25, 2020. http://hdl.handle.net/10724/35356".

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kazemi Zahrani, Bita. “Big data analytic tools to detect fraud in healthcare data.” 2016. Web. 25 Oct 2020.

Vancouver:

Kazemi Zahrani B. Big data analytic tools to detect fraud in healthcare data. [Internet] [Thesis]. University of Georgia; 2016. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10724/35356".

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kazemi Zahrani B. Big data analytic tools to detect fraud in healthcare data. [Thesis]. University of Georgia; 2016. Available from: http://hdl.handle.net/10724/35356"

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Georgia

28. Watts, Collin Andrew. Identifying popularity manipulation of livestreams on twitch.tv.

Degree: 2017, University of Georgia

 Livestreaming has grown from a theoretical concept to a multibillion dollar industry in the span of less than 10 years. This industry couples entertainers with… (more)

Subjects/Keywords: Livestreaming; Viewbots; Artificial Neural Networks; Fraud Detection; Twitch.TV; Deep Learning; Botnets

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Watts, C. A. (2017). Identifying popularity manipulation of livestreams on twitch.tv. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/36924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Watts, Collin Andrew. “Identifying popularity manipulation of livestreams on twitch.tv.” 2017. Thesis, University of Georgia. Accessed October 25, 2020. http://hdl.handle.net/10724/36924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Watts, Collin Andrew. “Identifying popularity manipulation of livestreams on twitch.tv.” 2017. Web. 25 Oct 2020.

Vancouver:

Watts CA. Identifying popularity manipulation of livestreams on twitch.tv. [Internet] [Thesis]. University of Georgia; 2017. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10724/36924.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Watts CA. Identifying popularity manipulation of livestreams on twitch.tv. [Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/36924

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Lincoln University

29. Mohamed Sadique, Raziah Bi. Corporate fraud: an empirical analysis of corporate governance and earnings management in Malaysia.

Degree: 2016, Lincoln University

 The recent failures of corporations such as Enron, WorldCom and HIH Insurance, to name but a few, have heightened investor awareness of the need to… (more)

Subjects/Keywords: corporate fraud; corporate governance; economic crime; earnings management; fraud detection; Malaysia; 150103 Financial Accounting; 150102 Auditing and Accountability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mohamed Sadique, R. B. (2016). Corporate fraud: an empirical analysis of corporate governance and earnings management in Malaysia. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/7792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mohamed Sadique, Raziah Bi. “Corporate fraud: an empirical analysis of corporate governance and earnings management in Malaysia.” 2016. Thesis, Lincoln University. Accessed October 25, 2020. http://hdl.handle.net/10182/7792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mohamed Sadique, Raziah Bi. “Corporate fraud: an empirical analysis of corporate governance and earnings management in Malaysia.” 2016. Web. 25 Oct 2020.

Vancouver:

Mohamed Sadique RB. Corporate fraud: an empirical analysis of corporate governance and earnings management in Malaysia. [Internet] [Thesis]. Lincoln University; 2016. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10182/7792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mohamed Sadique RB. Corporate fraud: an empirical analysis of corporate governance and earnings management in Malaysia. [Thesis]. Lincoln University; 2016. Available from: http://hdl.handle.net/10182/7792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

30. Enget, Kathryn Ann. Indicators of Fraud Detection Proficiency and Their Impact on Auditor Judgments in Fraud Risk Assessments and Audit Plan Modifications.

Degree: PhD, Accounting and Information Systems, 2015, Virginia Tech

 The study examines how an individual's level of fraud detection proficiency (an individual possessing formal fraud education or training, informal fraud training, fraud task-specific experience,… (more)

Subjects/Keywords: fraud detection proficiency; professional skepticism; fraud risk assessment; audit plan modification; audit judgment and decision making

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Enget, K. A. (2015). Indicators of Fraud Detection Proficiency and Their Impact on Auditor Judgments in Fraud Risk Assessments and Audit Plan Modifications. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/74271

Chicago Manual of Style (16th Edition):

Enget, Kathryn Ann. “Indicators of Fraud Detection Proficiency and Their Impact on Auditor Judgments in Fraud Risk Assessments and Audit Plan Modifications.” 2015. Doctoral Dissertation, Virginia Tech. Accessed October 25, 2020. http://hdl.handle.net/10919/74271.

MLA Handbook (7th Edition):

Enget, Kathryn Ann. “Indicators of Fraud Detection Proficiency and Their Impact on Auditor Judgments in Fraud Risk Assessments and Audit Plan Modifications.” 2015. Web. 25 Oct 2020.

Vancouver:

Enget KA. Indicators of Fraud Detection Proficiency and Their Impact on Auditor Judgments in Fraud Risk Assessments and Audit Plan Modifications. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Oct 25]. Available from: http://hdl.handle.net/10919/74271.

Council of Science Editors:

Enget KA. Indicators of Fraud Detection Proficiency and Their Impact on Auditor Judgments in Fraud Risk Assessments and Audit Plan Modifications. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/74271

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