Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

Event sequence data record series of discrete events in the time order of occurrence. They
are commonly observed in a variety of applications ranging from electronic health records to …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …

Event sequence data is increasingly available. Many business operations are supported by
information systems that record transactions, events, state changes, message exchanges …

Clinical researchers use disease progression models to understand patient status and
characterize progression patterns from longitudinal health records. One approach for …

Delivering customer services through video communications has brought new opportunities
to analyze customer satisfaction for quality management. However, due to the lack of …

Influence maximization (IM) algorithms play a significant role in hypergraph analysis tasks,
such as epidemic control analysis, viral marketing, and social influence analysis, and …

The increased availability of quantitative historical datasets has provided new research
opportunities for multiple disciplines in social science. In this article, we work closely with the …

Action sequences, where atomic user actions are represented in a labelled, timestamped
form, are becoming a fundamental data asset in the inspection and monitoring of user …