Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Detecting the financial statement fraud: The analysis of the differences between data mining techniques and experts’ judgments

Published:2015-11 Issue: Volume:89 Page:459-470
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Lin Chi-Chen,Chiu An-An,Huang Shaio Yan,Yen David C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference50 articles.

1. Fraud Examination;Albrecht,2003

2. An overview of the analytic hierarchy process and its use in accounting research;Apostolou;J. Account. Lit.,1993

3. The relative importance of management fraud risk factors;Apostolou;Behav. Res. Account.,2001

4. An empirical investigation of the relation between board of director composition and financial statement fraud;Beasley;Account. Rev.,1996

5. Financial ratios as predictors of failure;Beaver;J. Account. Res.,1966

Cited by 87 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Model for Detection of Fraudulent Financial Statements: A Case Study of Lithuanian Micro and Small Enterprises;European Journal of Business Science and Technology;2023-12-31

2. Double-weight LDA extracting keywords for financial fraud detection system;Multimedia Tools and Applications;2023-11-08

3. Financial Fraud Detection and Comparison Using Different Machine Learning Techniques;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

4. Detecting financial statement fraud using dynamic ensemble machine learning;International Review of Financial Analysis;2023-10

5. Detecting future financial statement fraud using a machine learning model in Indonesia: a comparative study;Asian Review of Accounting;2023-09-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3