Data Mining In Auditing
Data Mining in Auditing is a systematic analytical technique that applies computational algorithms to extract meaningful, previously unknown, and actionable patterns from large-scale financial and operational datasets to support continuous audit decision-making and anomaly detection.
170
Publications
12.2K
Citations
357
Authors
197
Institutions
Publications per year
2017–2026
85
Parents
170
A data mining framework for building intrusion detection models
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok · 2003 · 1.2K citations · Full text
Big Data in Accounting: An Overview
Miklos A. Vasarhelyi, Alexander Kogan, Brad Tuttle · Accounting Horizons · 2015 · 575 citations
Business, Accountancy, Accounting +13
1–5 of 170
357
Rutgers, The State University of New Jersey, United States
12 publications · 1.8K citations
11
h-index
9
h-index
7
h-index
Rutgers, The State University of New Jersey, United States
6 publications · 583 citations
6
h-index
5
h-index
1–5 of 357
197
Rutgers, The State University of New Jersey
New Brunswick, United States
10 h-index
22 publications
5.3K citations

Hasselt University
Hasselt, Belgium
7 h-index
9 publications
635 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
6 h-index
9 publications
285 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
5 publications
1.1K citations
Alexander Technological Educational Institute of Thessaloniki
Thessaloniki, Greece
5 h-index
7 publications
239 citations
Columbia University
New York, United States
4 h-index
8 publications
5.2K citations

The University of Queensland
Brisbane, Australia
3 h-index
5 publications
530 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
3 h-index
5 publications
206 citations
1–8 of 197
11 publications · 1K citations
11
h-index
7 publications · 306 citations
7
h-index
Repository · 7 publications · 181 citations
7
h-index
5 publications · 156 citations
5
h-index
4 publications · 210 citations
4
h-index
1–5