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Decreasing network downtime for wireless telecommunication systems is becoming more and more important. Therefore, degrading system performance needs to be identified long before key performance indicators pick up on it. As a lot of information about what is going on in the telecommunication network can be found in counter readings, exploratory data analysis, such as unsupervised clustering algorithms...
To find correlations and cause and effect relationships in multivariate data sets is central in many data analysis problems. A common way of representing causal relations among variables is to use node‐link diagrams, where nodes depict variables and edges show relationships between them. When performing a causal analysis, analysts may be biased by the position of collected evidences, especially when...
Monitoring complex systems and identifying degrading system components before the system or parts thereof fail, is crucial for many application areas, among them today's and future telecommunication systems. With the increasing complexity of such systems, the need to aid human operators through the use of machine learning tools is growing. In this paper, we present an automated approach for root-cause...
This paper presents an empirical study that addresses the effects the visualization of uncertainty has on decision-making. We focus our investigations on an area where uncertainty plays an important role and the decision time is limited. For that, we selected an air defense scenario, where expert operators have a few minutes to make a well-informed decision based on uncertain sensor data regarding...
This paper discusses the results of four empirical evaluations that assess the effects that visualizing system meta-information have on decision-making, particularly on confidence, trust, workload, time and performance. These four case studies correspond to the analysis of (1) the effects that visualizing uncertainty associated with sensor values (position, speed, altitude, etc. and track quality)...
Threat evaluation is concerned with estimating the level of threat posed by enemy units to one's own assets. This is an impact analysis problem which is important to address for supporting operators in achieving situation awareness. Due to the risky and complex nature of the threat evaluation tasks, it is imperative that the operators are supported by computerized systems as well as that they are...
In the defense domain, to estimate if a target is threatening and to which degree is a complex task, that is typically carried out by human operators due to the high risks and uncertainties associated. To their aid, different support systems have been implemented to analyze the data and provide recommendations for actions. Since the ultimate responsibility lies in human operators, it is of utmost...
Advancements in technology and the need for improving the pilots' working situations have stimulated the growth of automated functions within the fighter aircraft domain. Functions that aid the pilots perform their tasks and to make decisions fast in an often rapidly changing environment have been introduced with the ultimate aim of easing the pilots' workloads and improving their situation awareness...
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