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Data Analysis Techniques for Fraud Detection
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21	What do we know about fraud and other forms of intellectual dishonesty in science? Part 1. The spectrum of deviant behavior in science Add to Reading List Source URL: www.garfield.library.upenn.edu Language: English - Date: 2002-08-26 11:49:21 Science Crimes Fraud Academic dishonesty Betrayers of the Truth: Fraud and Deceit in the Halls of Science Scientific method Data Analysis Techniques for Fraud Detection The Great Betrayal: Fraud In Science Scientific misconduct Education Knowledge
22	ARBUTUS Arbutus Fraud Detection AUDIT ANALYTICS FOR FRAUD DETECTION AND FORENSIC INVESTIGATION Add to Reading List Source URL: www.arbutussoftware.com Language: English - Date: 2014-10-06 16:45:23 Business intelligence Science Auditing Computer-aided audit tools Forensic accounting Microsoft Excel Analytics Data analysis Data Analysis Techniques for Fraud Detection Accountancy Business Information technology audit
23	Investigating Fraud and Corruption Workshop aim Fraud and corruption impacts upon the efficiency, reputation, morale and stability of an organisation, often creating problems far greater than the financial losses involve Add to Reading List Source URL: www.ripainternational.co.uk Language: English - Date: 2014-09-23 12:17:09 Deception Fraud Tort law Political corruption Financial crimes Money laundering Forensic accountant ReD Data Analysis Techniques for Fraud Detection Ethics Law Crimes
24	Fraud Management Case Study Add to Reading List Source URL: www.equinoxis.com Language: English - Date: 2013-11-26 10:10:22 Email ReD Fraud Computing Technology Electronics Data Analysis Techniques for Fraud Detection Payment systems Business Revenue assurance
25	A modified version of this technical report will appear in ACM Computing Surveys, September[removed]Anomaly Detection : A Survey VARUN CHANDOLA University of Minnesota ARINDAM BANERJEE Add to Reading List Source URL: www.dtc.umn.edu Language: English - Date: 2012-08-16 12:29:06 Data mining Data security Anomaly Outlier Computer-aided audit tools Data Analysis Techniques for Fraud Detection Statistics Data analysis Anomaly detection
26	Detection of Undesirable Insider Behavior Joseph A. Calandrino1? , Steven J. McKinney2? , and Frederick T. Sheldon3 1 Princeton University, Princeton, NJ 08544, USA [removed] Add to Reading List Source URL: www.ioc.ornl.gov Language: English - Date: 2007-05-11 08:59:10 Computer security Information technology management Information Local outlier factor Intrusion detection system Synthetic data Threat Association rule learning Data Analysis Techniques for Fraud Detection Data mining Statistics Data management
27	AU S T RAL IAN I N S T I T U T E OF CRIMINOLOGY trends No. 199 & Add to Reading List Source URL: www.popcenter.org Language: English - Date: 2008-06-19 14:47:43 Deception Behavior Criminology Tort law White-collar crime Insurance fraud Advance-fee fraud Confidence trick Data Analysis Techniques for Fraud Detection Ethics Fraud Crimes
28	Case study: Bank Zachodni Increasing fraud detection effectiveness and efficiency for leading Polish bank Add to Reading List Source URL: www.experian.co.za Language: English - Date: 2015-01-07 08:43:55 Wielkopolski Bank Kredytowy ReD Bank Zachodni WBK Bank Zachodni Credit card Financial services Data Analysis Techniques for Fraud Detection National Hunter Allied Irish Banks Ethics Fraud
29	brighterion_cutsheet_postcard_iprevent Add to Reading List Source URL: www.brighterion.com Language: English - Date: 2013-05-02 19:55:34 Ethics Adaptive learning Law ReD Fraud Clickstream Adaptive behavior Data Analysis Techniques for Fraud Detection Payment systems Learning Brighterion
30	The Journal of Systems and Software–175 www.elsevier.com/locate/jss Automated discovery of concise predictive rules for intrusion detection Guy Helmer, Johnny S.K. Wong , Vasant Honavar, Les Miller Add to Reading List Source URL: www.cs.iastate.edu Language: English* - Date: 2005-02-05 20:56:16 Data mining Anomaly detection Intrusion detection system AAFID Feature selection Feature Data Analysis Techniques for Fraud Detection Statistics Computer security Data security

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