On Big Data-Based Fraud Detection Method for Financial Statements of Business Groups

摘要

This study develops a big data-based fraud detection approach for financial statements of business groups to efficiently improve fraud detection efficiency accuracy, and thereby reducing investment losses and risks and enhancing investment decision-making benefits for investors and creditors. This objective is achieved by the following: (i) designing the big data-based fraud detection process for financial statements of business groups, (ii) developing big data-based fraud detection techniques for use with such statements, and (iii) demonstrating and evaluating use of the proposed approach.