Asset logging in the energy sector: a scalable blockchain-based data platform
Due to a steeply growing number of energy assets, the increasingly decentralized and segmented energy sector fuels the potential for new digital use cases.
Alexander Djamali +6 more
doaj +1 more source
Conceptualizing the Integration of Business and Private Components in Individual Information Systems
Individuals build their individual information system (IIS) with which they manage the boundary between different domains of life. In this age of permanent mobile accessibility, however, the boundary between the private and business domains can become ...
Julia Lanzl +3 more
doaj +1 more source
Societal Responsibility of Business and Information Systems [PDF]
In this chapter, we present the development of the (CSR) corporate social responsibility as a factor of development of the use of the IS. First, we examine in detail how companies can seek to optimize the (positive or negative) externalities associated with ICTs in their lifecycle.
Poissonnier, Hugues +3 more
openaire +3 more sources
Dynamic data masking (DDM) is a powerful data-security technique for protecting personal and other sensitive information in databases from unauthorized access.
Marin Fotache +3 more
doaj +1 more source
Fraud_Detection_ML: Machine Learning Based on Online Payment Fraud Detection [PDF]
Online payment fraud detection is crucial for safeguarding e-commerce transactions against sophisticated fraudsters who exploit system vulnerabilities. This paper proposes an efficient framework for predicting online payment fraud, employing six diverse ...
Maged Farouk +10 more
doaj +1 more source
Bitcoin_ML: An Efficient Framework for Bitcoin Price Prediction Using Machine Learning [PDF]
Econometrics can be used to understand and forecast price movements, assess market efficiency, and explore the factors influencing Bitcoin's value and adaptation.
Maged Farouk +10 more
doaj +1 more source
Estimation of Feasibility for Business Information Systems
This paper describes the architecture of a system called Business Information System Feasibility. The purpose of the system is to establish a base for an impartial and computer-aided decision-making tool for choice of information system software and/or its provider, for evaluation of computerization projects and for validation of existing information ...
Kresimir Fertalj +2 more
openaire +5 more sources
Graph Neural Networks and Open-Government Data to Forecast Traffic Flow
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control.
Petros Brimos +3 more
doaj +1 more source
Micrtsoft_Stock_Price: An Efficient Framework For Microsoft Stock Price Prediction Using Computational Intelligence [PDF]
Econometrics uses statistical methods to analyze relationships using data. While its name suggests a focus on economics, it's widely used in various social sciences and beyond.One of the challenges in predicting stock prices is data availability since ...
Maged Farouk +9 more
doaj +1 more source
Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods
Dynamic data (including environmental, traffic, and sensor data) were recently recognized as an important part of Open Government Data (OGD). Although these data are of vital importance in the development of data intelligence applications, such as ...
Areti Karamanou +3 more
doaj +1 more source

