Results 1 - 10 of 1,265

Adaptive Fraud Detection

by Tom Fawcett, Foster Provost - DATA MINING AND KNOWLEDGE DISCOVERY , 1997
"... One method for detecting fraud is to check for suspicious changes in user behavior. This paper describes the automatic design of user profiling methods for the purpose of fraud detection, using a series of data mining techniques. Specifically, we use a rule-learning program to uncover indicators of ..."
Abstract - Cited by 221 (19 self) - Add to MetaCart
One method for detecting fraud is to check for suspicious changes in user behavior. This paper describes the automatic design of user profiling methods for the purpose of fraud detection, using a series of data mining techniques. Specifically, we use a rule-learning program to uncover indicators

Survey of fraud detection techniques

by Yufeng Kou, Chang-tien Lu, Sirirat Sinvongwattana, Yo-ping Huang - in Networking, sensing and control, 2004 IEEE international conference on, 2004
"... Due to the dramatic increase offraud which results in loss ofbillions of dollars worldwide each year; several mod-ern techniques in detecting fraud are continually evolved and applied to many business fields. Fraud detection in-volves monitoring the behavior of populations of users in order to estim ..."
Abstract - Cited by 36 (0 self) - Add to MetaCart
Due to the dramatic increase offraud which results in loss ofbillions of dollars worldwide each year; several mod-ern techniques in detecting fraud are continually evolved and applied to many business fields. Fraud detection in-volves monitoring the behavior of populations of users in order

Probabilistic Approaches to Fraud Detection

by Jaakko Hollmén , 1999
"... In telecommunication, a network operator may loose several percent of its revenue due to fraud. Fraud may be defined as dishonest or illegal use of services, with the intention to avoid or to reduce service charges. Fraud detection attempts to discover fraudulent activity in a telecommunication ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
In telecommunication, a network operator may loose several percent of its revenue due to fraud. Fraud may be defined as dishonest or illegal use of services, with the intention to avoid or to reduce service charges. Fraud detection attempts to discover fraudulent activity in a

Corporate lobbying and fraud detection

by Frank Yu , Xiaoyun Yu , Utpal Bhattacharya , John Boyd , Alexander Butler , Robert Kieschnick , Irina Stefanescu , Jun Yang , Ivy Zhang , Luigi Zingales - Journal of Financial and Quantitative Analysis , 2011
"... ABSTRACT This paper examines the relation between corporate lobbying and fraud detection. Using data on corporate lobbying expenses between 1998 and 2004, and a sample of large frauds detected during the same period, we find that firms' lobbying activities make a significant difference in frau ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
ABSTRACT This paper examines the relation between corporate lobbying and fraud detection. Using data on corporate lobbying expenses between 1998 and 2004, and a sample of large frauds detected during the same period, we find that firms' lobbying activities make a significant difference

Statistical Fraud Detection: A Review

by Richard J. Bolton, David J. Hand, David J. H , 2002
"... Fraud is increasing dramatically with the expansion of modern technology and the global superhighways of communication, resulting in the loss of billions of dollars worldwide each year. Although prevention technologies are the best way of reducing fraud, fraudsters are adaptive and, given time, will ..."
Abstract - Cited by 114 (0 self) - Add to MetaCart
, will usually find ways to circumvent such measures. Methodologies for the detection of fraud are essential if we are to catch fraudsters once fraud prevention has failed. Statistics and machine learning provide effective technologies for fraud detection and have been applied successfully to detect activities

Multiple Algorithms for Fraud Detection

by Richard Wheeler, Stuart Aitken, South Bridge - Knowledge-Based Systems , 2000
"... This paper describes an application of Case-Based Reasoning to the problem of reducing the number of nal-line fraud investigations in the credit approval process. The performance of a suite of algorithms which are applied in combination to determine a diagnosis from a set of retrieved cases is r ..."
Abstract - Cited by 10 (0 self) - Add to MetaCart
investigations necessary. Keywords: fraud detection, case-based reasoning, adaptive algorithms. 1 Introduction Articial intelligence techniques have been successfully applied to credit card fraud detection and credit scoring, and the eld of AI as applied to the nancial domain is both well-developed and well

Utility-based Fraud Detection

by Luis Torgo, Elsa Lopes
"... Fraud detection is a key activity with serious socioeconomical impact. Inspection activities associated with this task are usually constrained by limited available resources. Data analysis methods can provide help in the task of deciding where to allocate these limited resources in order to optimise ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
Fraud detection is a key activity with serious socioeconomical impact. Inspection activities associated with this task are usually constrained by limited available resources. Data analysis methods can provide help in the task of deciding where to allocate these limited resources in order

Behaviour Mining for Fraud Detection

by Jianyun Xu, Andrew H. Sung, Qingzhong Liu
"... Despite significant efforts by merchants, card issuers and law enforcement to curb fraud, online fraud continues to plague electronic commerce web sites. More advanced solutions are desired to protect merchants from the constantly evolving problem caused by fraud. The supervised machine learning tec ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
technique for the most well known fraud detection algorithms makes them inadequate for an online system, which usually contains a mammoth size of non-stationery data. This paper describes a method to dynamically create user profile for the purpose of fraud detection. We use a data mining algorithm

Fraud Detection System

by unknown authors
"... In e-commerce, credit card fraud is an evolving problem. The growing number of credit card transactions provides more opportunity for thieves to steal credit card numbers and subsequently commit fraud. Credit card fraud can be perpetrated through stolen cards, counterfeit card and stolen card detail ..."
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details. The defensive measure issuing bank can take to overcome this liability is by introducing fraud detection systems (FDSs) in their database. Although different methods have been implemented to detect fraud but application of probability and selection of threshold value add an extra advantage

Data mining techniques for Fraud Detection

by Anita B. Desai, Dr. Ravindra Deshmukh, Nahre Pune
"... Abstract-Due to the dramatic increase of fraud which results in loss of billions of dollars worldwide each year, several modern techniques in detecting fraud are continually evolved and applied to many business fields. Fraud detection involves monitoring the behaviour of populations of users in orde ..."
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Abstract-Due to the dramatic increase of fraud which results in loss of billions of dollars worldwide each year, several modern techniques in detecting fraud are continually evolved and applied to many business fields. Fraud detection involves monitoring the behaviour of populations of users
Results 1 - 10 of 1,265