期刊名称：Annals of the University of Oradea : Economic Science
印刷版ISSN：1222-569X
电子版ISSN：1582-5450
出版年度：2006
卷号：XV
期号：02
页码：1100-1103
出版社：University of Oradea
摘要：The Data Mining techniques can support the auditor¡¯s judgment, providing him an automatic analysis of an
important and complex set of data with the purpose of finding models with specific .patterns¡± or that
otherwise will pass unnoticed. Choosing samples will stand out as an essential functionality that can be
approach through this technology because a clustering analysis will allow auditors to identify the samples
from several representatives groups classified in a less noticeable way using other tools.
