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 …

Modern web clickstream data consists of long, high-dimensional sequences of multivariate
events, making it difficult to analyze. Following the overarching principle that the visual …

The growing volume and variety of data presents both opportunities and challenges for
visual analytics. Addressing these challenges is needed for big data to provide valuable …

Recommender systems are being widely used to assist people in making decisions, for
example, recommending films to watch or books to buy. Despite its ubiquity, the problem of …

Event sequence datasets with high event cardinality and long sequences are difficult to
visualize and analyze. In particular, it is hard to generate a high level visual summary of …

Visual tools that analyze events can reveal patterns, interesting rarities, and troubling
anomalies in a vast array of data sets. New research and the integration of statistical data …

In this work, we propose a generic visual analytics framework to support tactic analysis
based on data collected from racquet sports (such as tennis and badminton). The proposed …

Temporal event data are collected across a broad range of domains, and a variety of visual
analytics techniques have been developed to empower analysts working with this form of …

People often seek examples of similar individuals to guide their own life choices. For
example, students making academic plans refer to friends; patients refer to acquaintances …

This article presents our steps to integrate complex and partly unstructured medical data into
a clinical research database with subsequent decision support. Our main application is an …