In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...

Objective of this work is to explain the modelling concept of analytical function in the financial knowledge discovery model. This new simulation model of analytical function is developed for a financial knowledge discovery process that is used for the Corporate Criminal Intelligence Analysis (CCIA, in short). Model was developed for the CCIA work of the whole analytical part of the Financial p...

In order to solve the problems of low efficiency, high consumption human and time resources, degree intelligence in current financial abnormal data detection system computerized accounting, this paper proposes a monitoring analysis algorithm based on mining neural network. The uses method process original data, remove invalid information, retain valuable standardize problem large labor consumpt...

Business failures can cause financial damages to investors, creditors, or even society. For this reason bankruptcy prediction is one of the most challenging tasks in the field of financial decisionmaking. Business failure prediction has been an active research area since the 60s. The work of Beaver (1966) who performed univariate analysis of financial ratios and the work of Altman (1968) who em...

The aim of this communication is to analyse the process of estimation of the adequate time unit in financial series. The problem in time aggregation is the loss of information, that will be acceptable if it is possible to fit a financial model. We present an example of time aggregation problems in Financial Time series over the daily Deutsche Aktienindex (DAX) using three comparative methods: d...