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

Paolo Pileggi, Alejandro Rivero Rodriguez, Ossi Nykänen

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

    3 Citations (Scopus)

    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.
    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 → …

    Keywords

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

    Publication forum classification

    • Publication forum level 0

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