A. TSAKONAS Aristotle University of Thessaloniki, Dept. of Informatics, Artificial Intelligence and Information Analysis Lab BOX 451, 54124, Thessaloniki, Greece, tel: +2310-996361, fax: +2310-998453 , e-mail: [email protected] G.DOUNIAS University of the Aegean, Dept. of Financial and Management Engineering, 31 Fostini st., 82100 Chios, Greece, tel. +23271-35165, fax: +23271-93464, e-mail: ...

Machine learning, a branch of artificial intelligence, concerns the construction and study of systems that can learn from data. Neural network is the well-known branch of machine learning & it has been used extensively by researchers for prediction of data and the prediction accuracy depends upon fine tuning of particular financial data. In this paper neural networks have been used for financia...

One of the most important obstacles to using Internet banking is the lack of Stability of transactions and some misuse in the course of transactions it is financial. That is why preventing unauthorized access Crime detection is one of the major issues in financial institutions and banks. In this article, a system of intelligence has been designed that recognizes Suspicious and unusual behaviors...

We present two case studies, in the area of Business Intelligence and Healthcare, where Federated Semantic Data Management solutions has been successfully used and deployed, to address the needs of generating financial business reports and identifying patients in need of a cardio medical device. In both case studies, the semantic approach decreased time and cost compared to traditional data int...

The stock market can be viewed as a particular data mining and artificial intelligence problem. The movement in the stock exchange depends on capital gains and losses and most people consider the stock market erratic and unpredictable. However, patterns that allow the prediction of some movements can be found. Stock market analysis deals with the study of these patterns. It uses different techn...

Due to its high productivity at relatively low costs, algorithmic trading has become increasingly popular over the last few years. As news can improve the returns generated by algorithmic trading, there is a growing need to use online news information in algorithmic trading in order to react real-time to market events. The biggest challenge is to automate the recognition of financial events fro...

For many years large enterprise technology vendors have been seeking to integrate a variety of financial, operational, and performance measurement applications under the broader theme of enterprise (or corporate) performance management (EPM). The combined acquisitions of "best of breed" applications with business intelligence (BI) technology and reporting frameworks all seamlessly integrate bac...

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...

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...