In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …

This paper explores the applications of data mining techniques in accounting and proposes
an organizing framework for these applications. A large body of literature reported on …

Many applications in different domains produce large amount of time series data. Making
accurate forecasting is critical for many decision makers. Various time series forecasting …

In this work we present a large scale comparison study for the major machine learning
models for time series forecasting. Specifically, we apply the models on the monthly M3 time …

We review the past 25 years of research into time series forecasting. In this silver jubilee
issue, we naturally highlight results published in journals managed by the International …

In evaluations of forecasting accuracy, including forecasting competitions, researchers have
paid attention to the selection of time series and to the appropriateness of forecast-error …

Purpose Accounting information systems are mainly rule-based, and data are usually
available and well-structured. However, many accounting systems are yet to catch up with …

This case-study fits a variety of neural network (NN) models to the well-known air line data
and compares the resulting forecasts with those obtained from the Box–Jenkins and Holt …

During the last two decades, a substantial amount of research efforts has been intended for
support vector machine at the application of various data mining tasks. Data Mining is a …

The purpose of this paper is to compare the accuracy of various linear and nonlinear models
for forecasting aggregate retail sales. Because of the strong seasonal fluctuations observed …