|
|
|
|
|
Aleksy Kwilinski, Oleksii Lyulyov and Tetyana Pimonenko
Digital business plays a crucial role in driving energy efficiency and sustainability by enabling innovative solutions such as smart grid technologies, data analytics for energy optimization, and remote monitoring and control systems. Through digitalizat...
ver más
|
|
|
|
|
|
|
|
|
Dominik Molitor, Wullianallur Raghupathi, Aditya Saharia and Viju Raghupathi
While data breaches are a frequent and universal phenomenon, the characteristics and dimensions of data breaches are unexplored. In this novel exploratory research, we apply machine learning (ML) and text analytics to a comprehensive collection of data b...
ver más
|
|
|
|
|
|
|
|
|
Krishna Raj Raghavendran and Ahmed Elragal
In the context of developing machine learning models, until and unless we have the required data engineering and machine learning development competencies as well as the time to train and test different machine learning models and tune their hyperparamet...
ver más
|
|
|
|
|
|
|
|
|
Imad Bani-Hani, Soumitra Chowdhury and Arianit Kurti
The current business environment demands the enablement of organization-wide use of analytics to support a fact-based decision making. Such movement within the organization require employees to take advantage of the self-service business analytics tools ...
ver más
|
|
|
|
|
|
|
|
|
Zeeshan Tariq, Darryl Charles, Sally McClean, Ian McChesney and Paul Taylor
A significant challenge for organisations is the timely identification of the abnormalities or deviations in their process executions. Abnormalities are generally due to missing vital aspects of a process or possession of unwanted behaviour in the proces...
ver más
|
|
|
|