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Books on the topic 'Fraud Analytics'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Vona, Leonard W. Fraud Data Analytics Methodology. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119270331.

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2

Baesens, Bart, Véronique Van Vlasselaer, and Wouter Verbeke. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119146841.

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3

Westphal, Christopher R. Data mining for intelligence, fraud & criminal detection: Advanced analytics & information sharing technologies. CRC Press, 2008.

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4

Kazakova, Nataliya. Financial security of the company. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1908969.

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The textbook provides theoretical and practical training of business analysts on the financial security of companies. Considers the regulatory legal and methodological basis for the diagnosis of bankruptcy of organizations, as well as corporate fraud as a type of economic crimes; analytical tools for assessing the level of financial security based on a risk-oriented approach, the basics of building an internal financial security control system, including monitoring of the company's business processes affecting its financial security, as well as methods for assessing the risks of corporate frau

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5

P, Levine Michael, ed. The analytic Freud: Philosophy and psychoanalysis. Routledge, 2000.

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6

Accountants, Institute of Management, ed. The role of analytical procedures in detecting management fraud. Institute of Management Accountants, 1993.

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7

1918-, King Pearl, Steiner Riccardo, and British Psycho-Analytical Society, eds. The Freud-Klein controversies, 1941-45. Tavistock/Routledge, 1991.

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8

Bruder-Bezzel, Almuth, Elke Metzner, and Martin Schimkus. Die Gründung der Internationalen Psychoanalytischen Vereinigung durch Freud und Jung. Psychosozial-Verlag, 2011.

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9

Cutrofello, Andrew. Imagining otherwise: Metapsychology and the analytic a posteriori. Northwestern University Press, 1997.

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10

Roger, Hobdell, ed. Freud, Jung, Klein-- the fenceless field: Essays on psychoanalysis and analytical psychology. Routledge, 1995.

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11

Møller, Lis. The Freudian reading: Analytical and fictional constructions. University of Pennsylvania Press, 1991.

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12

Spann, Delena, ed. Fraud Analytics. Wiley, 2012. http://dx.doi.org/10.1002/9781118284049.

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13

FRAUD AND FRAUD DETECTION: A DATA ANALYTICS APPROACH. JOHN WILEY, 2015.

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14

Gee, Sunder. Fraud and Fraud Detection: A Data Analytics Approach. Wiley & Sons, Incorporated, John, 2014.

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15

Gee, Sunder. Fraud and Fraud Detection: A Data Analytics Approach. Wiley & Sons, Incorporated, John, 2014.

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16

Gee, Sunder. Fraud and Fraud Detection: A Data Analytics Approach. Wiley & Sons, Limited, John, 2014.

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17

Baesens, Bart. Fraud Analytics with SAS: Special Collection. SAS Institute, 2019.

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18

Frunza, Marius-Cristian. Solving Modern Crime in Financial Markets: Analytics and Case Studies. Elsevier Science & Technology, 2015.

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19

Frunza, Marius-Cristian. Solving Modern Crime in Financial Markets: Analytics and Case Studies. Elsevier Science & Technology Books, 2015.

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20

Vona, Leonard W. Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems. Wiley & Sons, Limited, John, 2016.

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21

Vona, Leonard W. Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems. Wiley & Sons, Incorporated, John, 2016.

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22

Vona, Leonard W. Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems. Wiley & Sons, Incorporated, John, 2016.

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23

Vona, Leonard W. Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems. Wiley & Sons, Limited, John, 2017.

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24

Spann, Delena D. Fraud Analytics: Strategies and Methods for Detection and Prevention. Wiley & Sons, Incorporated, John, 2014.

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25

Spann, Delena D. Fraud Analytics: Strategies and Methods for Detection and Prevention. Wiley & Sons, Incorporated, John, 2014.

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26

Spann, Delena D. Fraud Analytics: Strategies and Methods for Detection and Prevention. Wiley & Sons, Limited, John, 2015.

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27

Fraud Analytics: Strategies and Methods for Detection and Prevention. Wiley & Sons, Limited, John, 2013.

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28

Spann, Delena D. Fraud Analytics: Strategies and Methods for Detection and Prevention. Wiley & Sons, Incorporated, John, 2014.

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29

Mantone, Pamela S. Using Analytics to Detect Possible Fraud: Tools and Techniques. Wiley & Sons, Incorporated, John, 2013.

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30

Mantone, Pamela S., ed. Using Analytics to Detect Possible Fraud: Tools and Techniques. Wiley, 2013. http://dx.doi.org/10.1002/9781118715789.

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31

Using Analytics to Detect Possible Fraud: Tools and Techniques. Wiley & Sons, Limited, John, 2013.

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32

Mantone, Pamela S. Using Analytics to Detect Possible Fraud: Tools and Techniques. Wiley & Sons, Incorporated, John, 2013.

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33

Mantone, Pamela S. Using Analytics to Detect Possible Fraud: Tools and Techniques. Wiley & Sons, Incorporated, John, 2013.

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34

Mantone, Pamela S. Using Analytics to Detect Possible Fraud: Tools and Techniques. Wiley & Sons, Limited, John, 2013.

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35

Mantone, Pamela S. Using Analytics to Detect Possible Fraud: Tools and Techniques. Wiley & Sons, Incorporated, John, 2013.

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36

Saporta, Gilit, and Shoshana Maraney. Practical Fraud Prevention: Fraud and AML Analytics for Fintech and ECommerce, Using SQL and Python. O'Reilly Media, Incorporated, 2022.

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37

Fraud Analytics : Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection. Wiley & Sons, Incorporated, John, 2015.

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38

Baesens, Bart, Wouter Verbeke, and Veronique Van Vlasselaer. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection. Wiley & Sons, Incorporated, John, 2015.

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39

Baesens, Bart, Wouter Verbeke, and Veronique Van Vlasselaer. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection. Wiley & Sons, Limited, John, 2015.

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40

Baesens, Bart, Wouter Verbeke, and Veronique Van Vlasselaer. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection. Wiley & Sons, Incorporated, John, 2015.

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41

Nigrini, Mark J. Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Wiley & Sons, Incorporated, John, 2020.

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42

Nigrini, Mark J. Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Wiley & Sons, Limited, John, 2020.

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43

Nigrini, Mark J. Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Wiley & Sons, Incorporated, John, 2020.

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44

Nigrini, Mark J. Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Wiley & Sons, Incorporated, John, 2011.

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45

Nigrini, Mark J. Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Wiley & Sons, Incorporated, John, 2011.

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46

Nigrini, Mark J. Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Wiley & Sons, Incorporated, John, 2011.

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47

Nigrini, Mark J. Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations. Wiley & Sons, Limited, John, 2012.

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48

Data Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies. AUERBACH, 2008.

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49

Westphal, Christopher. Data Mining for Intelligence, Fraud and Criminal Detection: Advanced Analytics and Information Sharing Technologies. Taylor & Francis Group, 2008.

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50

Westphal, Christopher. Data Mining for Intelligence, Fraud and Criminal Detection: Advanced Analytics and Information Sharing Technologies. Taylor & Francis Group, 2008.

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