This paper aims to offer a new decision tool to assist banks in evaluating their efficiency of Internet presence and in planning the IT investments towards gaining better Internet popularity. The methodology used in this paper goes beyond the simple website interface analysis and uses web...

In this paper, we present a novel machine learning based forecasting system of the EU/USD exchange rate directional changes. Specifically, we feed an overcomplete variable set to a Support Vector Machines (SVM) model and refine it through a Sensitivity Analysis process. The dataset spans from...

Knowledge, as intellectual capital, has become the main resource of an organization, and the process of knowledge discovery, acquisition and storage is a very important one. Knowledge discovery can be easily realized through Data Mining, a Machine Learning technique, which allows the discovery...

Multiagent Learning is at the intersection of multiagent systems and Machine Learning, two subdomains of artificial intelligence. Traditional Machine Learning technologies usually imply a single agent that is trying to maximize some utility functions without having any knowledge about other...

This open access book presents the latest findings of researchers from around the globe who presented their work at the 10th international conference of Strategic Innovative Marketing and Tourism (ICSIMAT) in 2023. It provides an up-to-date information and discusses current trends, issues, and...

Chapter 1: Introduction -- Chapter 2 : Natural Language Models -- Chapter 3: Large Language Models -- Chapter 4 : Macroeconomic Indicators, Aggregates, and Framework -- Chapter 5 : Economic Sustainability -- Chapter 6 : Social Sustainability -- Chapter 7: Conclusion.