Both academic and nonacademic literature is evolving following the oscillating development
of artificial intelligence (AI) and computing power's evolution in their application to finance …

This paper presents a review of—and classification scheme for—the literature on the
application of data mining techniques for the detection of financial fraud. Although financial …

Financial statement fraud has been serious concern for investors, audit firms, government
regulators, and other capital market stakeholders. Intelligent financial statement fraud …

Recently, high profile cases of financial statement fraud have been dominating the news.
This paper uses data mining techniques such as Multilayer Feed Forward Neural Network …

This paper explores the applications of data mining techniques in accounting and proposes
an organizing framework for these applications. A large body of literature reported on …

The control of equipment such as camera gimbal, Vertical Take-Off and Landing (VTOL) and
Load Transporting System (LTS) on Unmanned Aerial Vehicle (UAV) with its own flight …

This study compares the performance of six popular statistical and machine learning models
in detecting financial statement fraud under different assumptions of misclassification costs …

The strategic use of deceptive language in managerial financial fraud is investigated with
linguistic cues extracted from 202 publicly available financial disclosures. Those crafting …

Financial Technology (FinTech) has attracted a wide range of attention and is rapidly
proliferating. As a result of its consistent growth new terms have been introduced in this …

The traditional audit paradigm is outdated in the real time economy. Innovation of the
traditional audit process is necessary to support real time assurance. Practitioners and …