The development and increased adoption of different IT trends is fostering the evolution and application of Big Data and Artificial In- telligence in many contexts of society and different business sectors. The financial services are the leading field in investment in advanced technology for continuous monitoring, transaction analysis, anomaly detection, data review, pattern recognition and other emerging tech- niques. In this article, we are going to analyse the role played by Big Data and artificial intelligence for fraud detection, analysing algori- thms applied to prevent and detect payment frauds and the use of these techniques in the context of corporate fraud and investigations against financial statement frauds.FC
Human life today is intertwined with abundant trade and economic exchanges, and life would not be po...
Financial fraud under IoT environment refers to the unauthorized use of mobile transaction using mob...
Financial statement fraud is the deliberate misstatement and misrepresentation of data to mislead th...
Criminals and criminal organizations often make use of companies and other corporate entities to hid...
Fraud Analytics refers to the use of Big Data Analytics to detect fraud. Numerous techniques, from d...
Credit card fraud is a major problem that has caused several challenges for practitioners in the acc...
Banks as old institutions are in the middle of change. Emerging FinTech companies combine the newest...
Artificial Intelligence is defined as ‘Intelligent Agents’ and sometimes called as ‘Machin...
Big data technology has had a significant impact on new business and financial services: for example...
Motivation and Problem Statement: In the context of increasing digitalization and the worldwide incr...
AbstractAlthough fraud is not a new issue, the current financial crisis has enlightened that fraud o...
To maintain public confidence in the financial system, it is essential that most financial fraud is ...
AbstractThe purpose of this study is to investigate the integration of forensic accounting and big d...
Data on global financial statistics demonstrate that total losses from fraudulent transactions aroun...
Data on global financial statistics demonstrate that total losses from fraudulent transactions aroun...
Human life today is intertwined with abundant trade and economic exchanges, and life would not be po...
Financial fraud under IoT environment refers to the unauthorized use of mobile transaction using mob...
Financial statement fraud is the deliberate misstatement and misrepresentation of data to mislead th...
Criminals and criminal organizations often make use of companies and other corporate entities to hid...
Fraud Analytics refers to the use of Big Data Analytics to detect fraud. Numerous techniques, from d...
Credit card fraud is a major problem that has caused several challenges for practitioners in the acc...
Banks as old institutions are in the middle of change. Emerging FinTech companies combine the newest...
Artificial Intelligence is defined as ‘Intelligent Agents’ and sometimes called as ‘Machin...
Big data technology has had a significant impact on new business and financial services: for example...
Motivation and Problem Statement: In the context of increasing digitalization and the worldwide incr...
AbstractAlthough fraud is not a new issue, the current financial crisis has enlightened that fraud o...
To maintain public confidence in the financial system, it is essential that most financial fraud is ...
AbstractThe purpose of this study is to investigate the integration of forensic accounting and big d...
Data on global financial statistics demonstrate that total losses from fraudulent transactions aroun...
Data on global financial statistics demonstrate that total losses from fraudulent transactions aroun...
Human life today is intertwined with abundant trade and economic exchanges, and life would not be po...
Financial fraud under IoT environment refers to the unauthorized use of mobile transaction using mob...
Financial statement fraud is the deliberate misstatement and misrepresentation of data to mislead th...