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Using context overlays to analyse the role of a priori information with Process Mining

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2015 IEEE International Systems Conference (SysCon 2015) Proceedings
Place of PublicationVancouver, BC, Canada
PublisherIEEE
Pages639-644
Number of pages6
ISBN (Print)978-1-4799-5927-3
DOIs
Publication statusPublished - 2015
Publication typeA4 Article in a conference publication
EventIEEE International Systems Conference -
Duration: 1 Jan 1900 → …

Conference

ConferenceIEEE International Systems Conference
Period1/01/00 → …

Abstract

Notwithstanding the significant advances in context-aware computing in pervasive computing and self-adaptive systems, there is still much more to be desired in providing better context services. The number of sensors deployed world-wide increases very rapidly. The Internet of Things, amongst others, generates vast amounts of data of many different data types. How data are used is essential to improve user experience and efficiencies of the systems in which they occur. We explain how familiar concepts of Process Mining strengthen generalised sensor context services. We present a laboratory case to explain the approach. By way of a real-world example, we confirm the viability of using Process Mining to strengthen context-aware computing.

Keywords

  • Context-aware computing, Process mining, Self- adaptive systems, Pervasive computing

Publication forum classification

Field of science, Statistics Finland