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 …

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 …

Data analysis often involves the comparison of complex objects. With the ever increasing
amounts and complexity of data, the demand for systems to help with these comparisons is …

Electronic Health Records (EHRs) have emerged as a cost-effective data source for
conducting medical research. The difficulty in using EHRs for research purposes, however …

Event sequence data is common in many domains, ranging from electronic medical records
(EMRs) to sports events. Moreover, such sequences often result in measurable outcomes …

Temporal event sequence data is increasingly commonplace, with applications ranging from
electronic medical records to financial transactions to social media activity. Previously …

This paper identifies three main understandings of the notion of 'car dependence'in transport
research: a micro-social understanding (dependence as an attribute of individuals), a macro …

To complement the currently existing definitions and conceptual frameworks of visual
analytics, which focus mainly on activities performed by analysts and types of techniques …

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

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