Physicians are confronted with increasingly complex patient histories based on which they
must make life-critical treatment decisions. At the same time, clinical researchers are eager …

Time is an exceptional dimension with high relevance in medicine, engineering, business,
science, biography, history, planning, or project management. Understanding time-oriented …

Recommender systems are being widely used to assist people in making decisions, for
example, recommending films to watch or books to buy. Despite its ubiquity, the problem of …

Monitoring equipment conditions is of great value in manufacturing, which can not only
reduce unplanned downtime by early detecting anomalies of equipment but also avoid …

Collecting sensor data results in large temporal data sets which need to be visualized,
analyzed, and presented. Onedimensional time-series charts are used, but these present …

Model selection in time series analysis is a challenging task for domain experts in many
application areas such as epidemiology, economy, or environmental sciences. The …

Flexible visual analysis of long, high-resolution, and irregularly sampled time series data
from multiple sensor streams is a challenge in several domains. In the field of additive …

Selecting an appropriate model to forecast product demand is critical to the manufacturing
industry. However, due to the data complexity, market uncertainty and users' demanding …

Finding patterns and trends in spatial and temporal datasets has been a long studied
problem in statistics and different domains of science. This paper presents a visual analytics …

Industrial product testing is frequently performed in cycles, resulting in cycle-dependent test
data. Monitoring the condition of products under test involves analysis of large and complex …