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

Paolo Pileggi; Alejandro Rivero Rodriguez; Ossi Nykänen

doi:10.1109/SYSCON.2015.7116823

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 proceeding › Conference contribution › Scientific › peer-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 language	English
Title of host publication	2015 IEEE International Systems Conference (SysCon 2015) Proceedings
Place of Publication	Vancouver, BC, Canada
Publisher	IEEE
Pages	639-644
Number of pages	6
ISBN (Print)	978-1-4799-5927-3
DOIs	https://doi.org/10.1109/SYSCON.2015.7116823
Publication status	Published - 2015
Publication type	A4 Article in conference proceedings
Event	IEEE International Systems Conference - Duration: 1 Jan 1900 → …

Conference

Conference	IEEE International Systems Conference
Period	1/01/00 → …

Keywords

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

Publication forum classification

Publication forum level 0

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10.1109/SYSCON.2015.7116823

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7116823

Cite this

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title = "Using context overlays to analyse the role of a priori information with Process Mining",

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",

author = "Paolo Pileggi and {Rivero Rodriguez}, Alejandro and Ossi Nyk{\"a}nen",

year = "2015",

doi = "10.1109/SYSCON.2015.7116823",

language = "English",

isbn = "978-1-4799-5927-3",

pages = "639--644",

booktitle = "2015 IEEE International Systems Conference (SysCon 2015) Proceedings",

publisher = "IEEE",

address = "United States",

note = "IEEE International Systems Conference ; Conference date: 01-01-1900",

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Using context overlays to analyse the role of a priori information with Process Mining. / Pileggi, Paolo; Rivero Rodriguez, Alejandro; Nykänen, Ossi.
2015 IEEE International Systems Conference (SysCon 2015) Proceedings. Vancouver, BC, Canada: IEEE, 2015. p. 639-644.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Rivero Rodriguez, Alejandro

AU - Nykänen, Ossi

PY - 2015

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N2 - 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.

AB - 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.

KW - Context-aware computing

KW - Process mining

KW - Self- adaptive systems

KW - Pervasive computing

U2 - 10.1109/SYSCON.2015.7116823

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M3 - Conference contribution

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BT - 2015 IEEE International Systems Conference (SysCon 2015) Proceedings

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ER -

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

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Keywords

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