Traditional parallel computing for power management systems has prime challenges such
as execution time, computational complexity, and efficiency like process time and delays in …

Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …

The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …

Future manufacturing systems need to be more flexible, to embrace tougher and constantly
changing market demands. They need to make better use of plant data, ideally utilising all …

The execution of processes in companies generates traces of event data, stored in the
underlying information system (s), capturing the actual execution of the process. Analyzing …

Abstract Internet of Things (IoT) is a novel paradigm in computer networks in which resource-
constrained objects connect to unreliable Internet by using a wide range of technologies …

The concept of event processing is established as a generic computational paradigm in
various application fields. Events report on state changes of a system and its environment …

Summary The Internet of Things (IoT) is an emerging technology paradigm where millions of
sensors and actuators help monitor and manage physical, environmental, and human …

By relating observed and modelled behaviour, conformance checking unleashes the full
power of process mining. Techniques from this discipline enable the analysis of the quality …

In contrast to previous surveys, the present work is not focused on reviewing the datasets
used in the network security field. The fact is that many of the available public labeled …