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Author (up) Hoang Nam Ho; Mourad Rabah; Ronan Champagnat; Frédéric Bretrand pdf 
  Title Towards an Automatic Assistance in Crisis Resolution with Process Mining Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages 574-585  
  Keywords Crisis management; traces; response plan; clustering; process mining.  
  Abstract To deal with a crisis situation, experts must undertake a chain of activities, called process, to minimize crisis consequences. To assist the expert in making decision in crisis resolutions, authors propose a method aiming at discovering crisis response processes. This method is based on a two-step strategy: the first step classifies the system’s traces, representing stakeholders’ past actions, into different sets, where each one represents a set of response processes according to a specific context; the second step uses process mining algorithm to discover the corresponding response plan process model based on the obtained chain of activities for each previously classified context. These response plans will be a referenced aid for experts while making crisis resolution, according to each context. The proposed approach is illustrated on the traces issued from the crisis caused by the 2010 Xynthia storm in France.  
  Address (1) Université de La Rochelle / L3i, France; (2) Kereon intelligence, France  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T7- Planning, Foresight and Risk Analysis Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes hoang_nam.ho@univ-lr.fr; mourad.rabah@univ-lr.fr; ronan.champagnat@univ-lr.fr; frederic.bertrand@univ-lr.fr Approved no  
  Call Number Serial 1744  
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