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 …

In this paper, we have described a solution for supporting independent living of the elderly
by means of equipping their home with a simple sensor network to monitor their behaviour …

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 …

As people continue to adopt technology based self tracking devices and applications,
questions arise about how personal informatics tools can better support self tracker goals …

Study of human activities in space and time has been an important research topic in
transportation research. Limitations of conventional statistical methods for analysis of …

In this paper, the application of soft computing techniques in prediction of an occupant's
behaviour in an inhabited intelligent environment is addressed. In this research, daily …

Electronic Medical Record (EMR) databases contain a large amount of temporal events
such as diagnosis dates for various symptoms. Analyzing disease progression pathways in …

Wearable devices that collect and generate masses of health related data, such as number
of steps taken in a day and heart-rate have seen widespread adoption among general …

The identification of significant sequences in large and complex event-based temporal data
is a challenging problem with applications in many areas of today's information intensive …