We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …

Visual analytics for time series data has received a considerable amount of attention.
Different approaches have been developed to understand the characteristics of the data and …

In this paper, we present a visual analysis system to explore sparse traffic trajectory data
recorded by transportation cells. Such data contains the movements of nearly all moving …

Visualization has proven to be a useful tool for understanding network structures. Yet the
dynamic nature of social media networks requires powerful visualization techniques that go …

Commercial buildings are significant consumers of electrical power. Also, energy expenses
are an increasing cost factor. Many companies therefore want to save money and reduce …

Model checking is an automated technique that can be used to determine whether a system
satisfies certain required properties. The typical approach to verifying properties of software …

Trends like decentralized energy production lead to an exploding number of time series from
sensors and other sources that need to be assessed regarding their data quality (DQ). While …

We present a system to analyze time‐series data in sensor networks. Our approach supports
exploratory tasks for the comparison of univariate, geo‐referenced sensor data, in particular …

Transport assessment plays a vital role in urban planning and traffic control, which are
influenced by multi-faceted traffic factors involving road infrastructure and traffic flow …

Security is becoming a major concern for many mission-critical applications wireless sensor
networks (WSNs) are envisaged to support. This is because WSNs are susceptible to …