نتایج جستجو برای: financial fraud detection

تعداد نتایج: 714167  

2016
Shashank Sharma Arjun Roy Choudhury

Fraud in banks has been steadily growing over the past years and is a challenge to banks worldwide. The complexity involved in detection of such fraudulent activities further adds to the problem. A thorough examination of fraud and its possibilities is necessary to pinpoint and distinguish the few fraudulent cases within the vast volumes of banking data. In this paper we have discussed various ...

2015
Fazlul Hoque Md. Jahidul Islam Swakkhar Shatabda EWT Ngai Yong Hu YH Wong Yijun Chen Xin Sun Zabihollah Rezaee Mehmed Kantardzic Stijn Viaene Richard A Derrig Bart Baesens William J Frawley Gregory Piatetsky-Shapiro Efstathios Kirkos Charalambos Spathis Sam Maes Karl Tuyls Bram Vanschoenwinkel Michael J Cerullo

Financial fraud has become a daunting challenge for the business companies and baking organizations worldwide. The development of new technologies has provided further and more complicated ways in which criminals commit fraud that result in disastrous consequences. In this paper, we propose a Linear Discriminant Analysis-based novel financial fraud detection model which performs a two-tier clas...

2017
Petter Gottschalk

Cressey’s [1] fraud triangle examined the motivation for crime. McMahon et al. [2] suggest there is a need to move beyond the traditional fraud triangle to fight white-collar crime. In this article, we suggest a white-crime triangle which includes financial motive, organizational opportunity and deviant behavior. The suggested white-collar crime triangle is based on convenience theory [3], wher...

2017
Narek Abroyan

During the last several years machine learning started to revolutionize many industrial fields by replacing human intellectual work with recent technologies. Machine learning has started to be used in financial sphere as well for predicting stock prices, detecting fraud actions etc. In this work, we are focusing on financial market risk classification, which is a part of fraud action detection ...

Journal: :Expert Syst. Appl. 2012
Sanjeev Jha Montserrat Guillen J. Christopher Westland

Credit card fraud costs consumers and the financial industry billions of dollars annually. However, there is a dearth of published literature on credit card fraud detection. In this study we employed transaction aggregation strategy to detect credit card fraud. We aggregated transactions to capture consumer buying behavior prior to each transaction and used these aggregations for model estimati...

2016
Adeyinka Adedoyin Stelios Kapetanakis Miltos Petridis Emmanouil Panaousis

The volume of banking transaction has increased considerably in the recent years with advancement in financial transactions payment methods. Consequently, the number of fraud cases has also increased, causing billion of dollar losses each year worldwide, although from Literature, there has been substantial work in the domain of fraud detection by both the industry and academia’s. Despite the su...

Journal: :JCIT 2010
Sotiris B. Kotsiantis Dimitris Kanellopoulos Vasilis Tampakas

The problems of bankruptcy prediction and fraud detection have been extensively considered in the financial literature. The objective of this work is twofold. Firstly, we investigate the efficiency of multi-instance learning in bankruptcy prediction. For this reason, a number of experiments have been conducted using representative learning algorithms, which were trained using a data set of 150 ...

2009
Sean L. Humpherys

Managerial financial fraud is estimated in the billions of dollars annually in the United States. Since fraud includes obfuscation, misdirection, and fabrication, this study proposes using deception theory as a means of detecting fraud in textual portions of financial statements (10K). A corpus of 101 fraudulent 10Ks was collected from the Securities and Exchange Commission along with 101 match...

Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...

2015
Nerissa C. Brown Richard M. Crowley Brooke Elliott

Detection models of financial misreporting have evolved beyond basic quantitative or financial measures to include textual or linguistic characteristics of firms’ disclosures. While these textual analysis methods provide incremental power in identifying misreporting, they examine how content is being disclosed as opposed to what is being disclosed. This study introduces a novel fraud-detection ...

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