A taxonomy to guide research on the application of data mining to fraud detection in financial statement audits

GL Gray, RS Debreceny - International Journal of Accounting Information …, 2014 - Elsevier
This paper explores the application of data mining techniques to fraud detection in the audit
of financial statements and proposes a taxonomy to support and guide future research …

Estimation of incident clearance times using Bayesian Networks approach

K Ozbay, N Noyan - Accident Analysis & Prevention, 2006 - Elsevier
Effective incident management requires a full understanding of various characteristics of
incidents to accurately estimate incident durations and to help make more efficient decisions …

Ontology-based modeling for a personalized MOOC recommender system

S Assami, N Daoudi, R Ajhoun - … Conference Europe Middle East & North …, 2018 - Springer
Technology has revolutionized information access and influenced our learning habits. In this
context, Massive Open Online Courses (MOOC) platforms emerged to satisfy the web user's …

[图书][B] Comparison of data mining techniques used to predict student retention

K Pittman - 2008 - search.proquest.com
Retaining undergraduate students at four-year public institutions has been a long-standing
problem for many years. Although the retention issue has been the focus of literally …

A Bayesian model for lexical availability of Chilean High School students in mathematics

P Salcedo L, A Ferreira C, F Barrientos C - … 14, 2013. Proceedings, Part I 5, 2013 - Springer
Lexical availability studies make an account from a statistical point of view about the lexicon
of a group of people and the extent to which these might be considered representative of a …

Datamining for fraud detecting, state of the art

I Bouazza, EB Ameur, F Ameur - Advanced Intelligent Systems for …, 2019 - Springer
Fraud detection is a rapidly developing field; several technologies have been used to
prevent fraud such as data mining (DM). The use of data mining applications have shown …

SOFC modelling based on discrete Bayesian network for system diagnosis use

K Wang, MC Péra, D Hissel, NY Steiner… - IFAC Proceedings …, 2012 - Elsevier
We propose in this paper a diagnosis method that is aimed to detect and isolate SOFC
system fault by using the FC stack as a sensor. A discrete Bayesian network (BN) was …

[图书][B] Improving Retention of Stem Students Using Data Mining Design: A Quantitative Study

A Amin - 2019 - search.proquest.com
The persistent difficulty of retaining college students through graduation has become a
global problem. The purpose of this quantitative, descriptive, and retrospective study was to …

[PDF][PDF] Global Journal on Technology

L Husssain - 2014 - Citeseer
Face Detection technique is used for face authentication and verification and Face Detection
is a front part of Face recognition. It is used in many fields such as authentication security …