Rapidly growing virtual reality (VR) technologies and techniques have gained importance
over the past few years, and academics and practitioners have been searching for efficient …

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 …

Tactic analysis is a major issue in badminton as the effective usage of tactics is the key to
win. The tactic in badminton is defined as a sequence of consecutive strokes. Most existing …

Event sequence mining is often used to summarize patterns from hundreds of sequences
but faces special challenges when handling racket sports data. In racket sports (eg, tennis …

Abstract Machine learning provides many powerful and effective techniques for analysing
heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a …

Data-driven problem solving in many real-world applications involves analysis of time-
dependent multivariate data, for which dimensionality reduction (DR) methods are often …

To make predictions and explore large datasets, healthcare is increasingly applying
advanced algorithms of artificial intelligence. However, to make well‐considered and …

Finding the similarities and differences between groups of datasets is a fundamental
analysis task. For high-dimensional data, dimensionality reduction (DR) methods are often …

Recently, Large Language Model based Autonomous System (LLMAS) has gained great
popularity for its potential to simulate complicated behaviors of human societies. One of its …

Over the past years, an increasing number of publications in information visualization,
especially within the field of visual analytics, have mentioned the term “embedding” when …