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Muhammad Rifqi Ma’arif
Department of Information Management STMIK Jenderal A. Yani Yogyakarta
Computer Science & IT Electrical & Electronics Engineering

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Revealing Daily Human Activity Pattern using Process Mining Approach Muhammad Rifqi Ma’arif
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (441.723 KB) | DOI: 10.11591/eecsi.v4.1066

Abstract

In  the  last  few  years,  with  the  emergence  of ambient assisted living, the study of human behavioral pattern took  a  wide  interest  from  research  communities  around  the world. In many literatures, pattern recognition was widely adopted approach to implements in human behavior study from computing perspective. Pattern recognition brings a promising results in terms of accuracy for modeling human behavior. But the problem with this approach is the complexity of knowledge representation  which  formulated  in  mathematical  model.  In turns, a correction by the experts is hardly conducted. In another hand, gathering a graphical insight is  not a trivial task. This paper  investigate the use of process mining technology to gives an alternative to such problems. Process mining is data-driven approach to infer a graphical representation of any kind of process. In terms of human behavior, process can be defined as sequences of activities performed by human on daily basis. From the conducted experiments process mining was shown a potential use to infer a human daily activity pattern in a graphical representation.
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