Results 41 to 50 of about 34,999 (183)
Intelligent Financial Fraud Detection Practices: An Investigation
, 2015 Financial fraud is an issue with far reaching consequences in the finance industry, government, corporate sectors, and for ordinary consumers. Increasing dependence on new technologies such as cloud and mobile computing in recent years has compounded the
B Bai +26 more
core +1 more source
International Insolvency Review, EarlyView.Abstract Although a local experiment, the promulgation of the Regulations of Shenzhen Special Economic Zone on Personal Bankruptcy (SPBR) in 2020 was hailed as a significant milestone in China's insolvency lawmaking which has thus far addressed only corporate insolvencies.
Jenny Fu, Jin Chun
wiley +1 more source
Neural data mining for credit card fraud detection [PDF]
, 2010 The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand is ...
Brause, Rüdiger W. +2 more
core
Incremental Principal Component Analysis Based Outliers Detection Methods for Spatiotemporal Data Streams [PDF]
, 2015 In this paper, we address outliers in spatiotemporal data streams obtained from sensors placed across geographically distributed locations. Outliers may appear in such sensor data due to various reasons such as instrumental error and environmental change.
Bhushan, Alka +2 more
core +5 more sources
International Journal of Finance &Economics, EarlyView.ABSTRACT Big data and financial innovations are vital to enhancing the performance of banking institutions. However, limited evidence exists on the effects of big data applications and financial innovation on bank performance. This study addresses this gap by constructing a theoretical framework linking big data applications and financial innovations ...
Mandella Osei‐Assibey Bonsu +1 more
wiley +1 more source
Jurnal Sisfokom, 2023 The use of credit cards is increasing in today's digital era. This increase has resulted in many cases of fraud which have had a negative impact on credit card owners.
Indah Werdiningsih +7 more
doaj +1 more source
Credit card fraud detection by adaptive neural data mining [PDF]
, 1999 The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand is ...
Brause, Rüdiger W. +2 more
core
An Empirical Study of AML Approach for Credit Card Fraud Detection—Financial Transactions [PDF]
, 2020 Credit card fraud is one of the flip sides of the digital world, where transactions are made without the knowledge of the genuine user. Based on the study of various papers published between 1994 and 2018 on credit card fraud, the following objectives ...
Jain, Anurag, Singh, Ajeet
core
International Journal of Finance &Economics, EarlyView.ABSTRACT This article investigates whether the unconventional monetary policy (UMP) measures pursued by the Federal Reserve, the Bank of England, the Bank of Japan, and the European Central Bank since the Global Financial Crisis (GFC) are associated with an appetite for cryptocurrency.
Niamh Wylie, Martha O'Hagan‐Luff
wiley +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source