Along with the great increase of internet and e-commerce, the use of credit card is an unavoidable one. Due to the increase of credit card usage, the frauds associated with this have also increased. There are a lot of approaches used to detect the frauds. In this paper, behavior based classification approach using Support Vector Machines are employed and efficient feature extraction method also...

Recent decades have seen a gigantic expansion in the use of credit cards as a true transactional medium. Data mining is rising as one of the chief features of many homeland security\ initiatives. Often, it is used as a means for detecting fraud, assessing risk, as well as product retailing. Data mining is becoming increasingly common in both the private as well as public sectors. Data mining in...

In a recent article, Inglis and Alcock (2012) contended that their data challenge the claim that when mathematicians validate proofs, they initially skim a proof to grasp its main idea prior to reading individual parts of the proof more carefully. This result is based on the fact that when mathematicians read proofs in their study, on average their initial reading of a proof took half as long a...

There is a significant need to understand the law that relates to credit cards, both civil and criminal, especially, in the context of ever increasing credit card frauds, and the way in which the civil law has contributed to it, and the insufficient way in which the criminal law has sought to combat it. It cannot be denied that credit card misuse is a global problem. It will also indicate some ...

Fraudulently posted online rental listings, rental scams, have been frequently reported by users. However, our understanding of the structure of rental scams is limited. In this paper, we conduct the first systematic empirical study of online rental scams on Craigslist. This study is enabled by a suite of techniques that allowed us to identify scam campaigns and our automated system that is abl...

Despite the widespread attention given to identity theft, there is much confusion on how best to define and measure it. Recent attempts to measure its extent through victimization surveys or law enforcement files have varied considerably in the types of crimes included as identity theft. Some studies include credit card fraud, while others exclude it. This inconsistency in data collection has m...

Data mining is popularly used to combat frauds because of its effectiveness. It is a well-defined procedure that takes data as input and produces models or patterns as output. Neural network, a data mining technique was used in this study. The design of the neural network (NN) architecture for the credit card detection system was based on unsupervised method, which was applied to the transactio...

This Appendix contains an overview of debt collection technologies in the U.S. and its recent evolution. In the first section we summarize how debt is collected in the U.S. Section 2 focuses on collection technology and its recent evolution. The last section describes the data sources used in the analysis. 1 Overview of the Debt Collection Process in the US We briefly describe the debt collecti...

Student loans and credit card loans represent important components of young households’ portfolios in the United States. While default rates on credit card debt are at historically low levels, default rates on student loans have increased significantly in recent years. There are important institutional differences between bankruptcy arrangements and default consequences in the two markets, whic...

The payment card industry has grown rapidly the last few years. Companies and institutions move parts of their business, or the entire business, towards online services providing e-commerce, information and communication services for the purpose of allowing their customers better efficiency and accessibility. Regardless of location, consumers can make the same purchases as they previously did "...