Time series is an important class of temporal data objects and it can be easily obtained from
scientific and financial applications. A time series is a collection of observations made …

Event sequence analysis is an important task in many domains: medical researchers may
study the patterns of transfers within the hospital for quality control; transportation experts …

While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

There are many ways to visualize event sequences as timelines. In a storytelling context
where the intent is to convey multiple narrative points, a richer set of timeline designs may …

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

Radial visualization, or the practice of displaying data in a circular or elliptical pattern, is an
increasingly common technique in information visualization research. In spite of its …

Providing appropriate methods to facilitate the analysis of time-oriented data is a key issue
in many application domains. In this paper, we focus on the unique role of the parameter …

Electronic Health Records (EHRs) and other temporal databases contain hidden patterns
that reveal important cause-and-effect phenomena. Finding these patterns is a challenge …

Las tecnologías utilizadas en los procesos de aprendizaje implican el registro de todas las
actividades realizadas. Estos datos se pueden aprovechar para la evaluación de …

Recent research has confirmed the impact of the use of electronic media on student
performance. In an earlier article the impact of accessing reading and posting on a forum …