Solving modern crime in financial markets : analytics and case studies
Title By: Frunza, Marius-Christian [Edited by]
Material type:
BookPublisher: Waltham, MA : Academic Press is an imprint of Elsevier, 2016.Description: xxvi, 497 p. : ill. ; 24 cm.ISBN: 9780128044940Subject(s): Commercial crimes -- Investigation | BUSINESS & ECONOMICS / Infrastructure | SOCIAL SCIENCE / GeneralDDC classification: 363.25968 SO LV Online resources: Location Map
Summary:
This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings together all important aspect of analytics used in investigating modern crime in financial markets and uses R for its statistical examples. It focuses on crime in financial markets as opposed to the financial industry, and it highlights technical aspects of crime detection and prevention as opposed to their qualitative aspects. For those with strong analytic skills, this book unleashes the usefulness of powerful predictive and prescriptive analytics in predicting and preventing modern crime in financial markets.
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 363.25968 SO LV (Browse shelf) | Available | T0054646 |
Total holds: 0
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| 363.25963 SI FO Forensic accounting and fraud investigation for non-experts / | 363.259630973 RU FO Forensic accounting | 363.25968 PR IN Incident response and computer forensics / | 363.25968 SO LV Solving modern crime in financial markets : | 363.259680973 CO MP Computer fraud cases : | 363.28 DI LP Diplomatic security : | 363.289 FI IN Introduction to security |
Includes bibliographical references and index.
This comprehensive source of information about financial fraud delivers a mature approach to fraud detection and prevention. It brings together all important aspect of analytics used in investigating modern crime in financial markets and uses R for its statistical examples. It focuses on crime in financial markets as opposed to the financial industry, and it highlights technical aspects of crime detection and prevention as opposed to their qualitative aspects. For those with strong analytic skills, this book unleashes the usefulness of powerful predictive and prescriptive analytics in predicting and preventing modern crime in financial markets.