A semi-supervised tool for clustering accounting databases with applications to internal controls

Research output: Contribution to journal › Article › Scientific › peer-review

6 Citations (Scopus)

Original language	English
Peer-reviewed scientific journal	Expert Systems with Applications
Volume	38
Issue number	9
Pages (from-to)	11176-11181
Number of pages	6
ISSN	0957-4174
DOIs	https://doi.org/10.1016/j.eswa.2011.02.163
Publication status	Published - 2011
MoE publication type	A1 Journal article - refereed

Keywords

@article{facbc8c2baed48b09c32a85188f36893,

title = "A semi-supervised tool for clustering accounting databases with applications to internal controls",

keywords = "512 Business and Management, KOTA2011",

author = "Argyris Argyrou and Andriy Andreev",

year = "2011",

doi = "10.1016/j.eswa.2011.02.163",

language = "English",

volume = "38",

pages = "11176--11181",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Pergamon (Elsevier BV)",

number = "9",

}

TY - JOUR

T1 - A semi-supervised tool for clustering accounting databases with applications to internal controls

AU - Argyrou, Argyris

AU - Andreev, Andriy

PY - 2011

Y1 - 2011

KW - 512 Business and Management

KW - KOTA2011

U2 - 10.1016/j.eswa.2011.02.163

DO - 10.1016/j.eswa.2011.02.163

M3 - Article

SN - 0957-4174

VL - 38

SP - 11176

EP - 11181

JO - Expert Systems with Applications

JF - Expert Systems with Applications

IS - 9

ER -