Direct nitrous oxide (N 2 O) emissions during the biological nitrogen removal (BNR)
processes can significantly increase the carbon footprint of wastewater treatment plant …

A time-frequency diagram is a commonly used visualization for observing the time-frequency
distribution of radio signals and analyzing their time-varying patterns of communication …

The assignment of labels to data instances is a fundamental prerequisite for many machine
learning tasks. Moreover, labeling is a frequently applied process in visual interactive …

Time-series data is widely studied in various scenarios, like weather forecast, stock market,
customer behavior analysis. To comprehensively learn about the dynamic environments, it is …

Spatial time series is a common type of data dealt with in many domains, such as economic
statistics and environmental science. There have been many studies focusing on finding and …

Massive sequence view (MSV) is a classic timeline-based dynamic network visualization
approach. However, it is vulnerable to visual clutter caused by overlapping edges, thereby …

Time series data visualization integrates data analysis and mining, computer graphics,
interaction design and other technologies and methods. This paper first analyzes the …

Pre‐processing is a prerequisite to conduct effective and efficient downstream data analysis.
Pre‐processing pipelines often require multiple routines to address data quality challenges …

Visual query of spatiotemporal data is becoming an increasingly important function in visual
analytics applications. Various works have been presented for querying large …

Mislabeled data in large datasets can quickly degrade the performance of machine learning
models. There is a substantial base of work on how to identify and correct instances in data …