Work

Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods

Year: 2017

Type: article

Source: Knowledge-Based Systems

DOI: 10.1016/j.knosys.2017.05.001

Authors: Petr Hajek, Roberto Henriques

Institutions: University of Pardubice, Universidade Nova de Lisboa

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

Funder: Grantová Agentura České Republiky

Award: Topic and sentiment analysis of multiple textual sources for corporate financial decision-making

OpenAlex ID: W2610250061

FWCI: 53.33

Cites: 103

Cited by: 386

Related to: 10