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 order to estimate, detect, or avoid undesirable behaviour. Undesirable behaviour is a broad term including mis...

The authenticity of buffalo (Bubalus bubalis) dairy products is a focal issue, considering the increasing demand for milk products. Therefore, aim this study was to investigate undeclared presence bovine (Bos taurus) in yogurt, understand which risk factors might make product vulnerable fraud. Real-time PCR assay showed DNA addition 18 72 samples. Given widespread lack data on species products,...

E-fraud is an e-crime that affects society, as a whole, impacting upon individuals, businesses and governments. Recent studies suggest that e-fraud is on the increase and that a lack of awareness, and inappropriate, limited or absent countermeasures have only exacerbated the negative impact of E-fraud to society. The response to e-fraud has concentrated on context specific technical solutions b...

Credit card fraud detection along with its inherent property of class imbalance is one of the major challenges faced by the financial institutions. Many classifiers are used for the fraud detection of imbalanced data. Imbalanced data withhold the performance of classifiers by setting up the overall accuracy as a performance measure. This makes the decision to be biased towards the majority clas...

Researchers and practitioners have made many attempts to identify fraud indicators and to build fraud prediction procedures. Fraud is a beg subject and causes tremendous loss to the business world and creates morale problems in the workplace. It represents a critical issue for the accounting profession, in devolved and non-developed countries. Numerous surveys in the 1980s have served to underl...

Data mining is becoming strategically important area for many business organizations including banking sector. It is a process of analyzing the data from various perspectives and summarizing it into valuable information. Data mining assists the banks to look for hidden pattern in a group and discover unknown relationship in the data. Today, customers have so many opinions with regard to where t...