The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

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 …

The recent years have witnessed a surge of interests in data analytics with patient Electronic
Health Records (EHR). Data-driven healthcare, which aims at effective utilization of big …

As datasets grow and analytic algorithms become more complex, the typical workflow of
analysts launching an analytic, waiting for it to complete, inspecting the results, and then re …

The rapid growth in the development of healthcare information systems has led to an
increased interest in utilizing the patient Electronic Health Records (EHR) for assisting …

Visual analytics plays a key role in the era of connected industry (or industry 4.0, industrial
internet) as modern machines and assembly lines generate large amounts of data and …

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 …

Event sequence data analysis is common in many domains, including web and software
development, transportation, and medical care. Few have investigated visualization …

Objective In order to derive data-driven insights, we develop Care Pathway Explorer, a
system that mines and visualizes a set of frequent event sequences from patient EMR data …

Event sequences analysis plays an important role in many application domains such as
customer behavior analysis, electronic health record analysis and vehicle fault diagnosis …