IEEE CIS Task Force on Process Mining

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news:2016_09_30_bpic [2016/09/30 14:52]
hverbeek [Press release]
news:2016_09_30_bpic [2016/09/30 14:55] (current)
hverbeek [Press release: Winners of the BPI Challenge 2016]
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 ====== Press release: Winners of the BPI Challenge 2016 ====== ====== Press release: Winners of the BPI Challenge 2016 ======
  
-Since 2011, the IEEE Task Force on process mining organizes a yearly Business Process Intelligence Challenge, or BPI Challenge. The goal of this challenge is to bring together practitioners and researchers in the field to show the direct impact of academic work when facing the challenges real-life cases bring. For the BPI challenge, we provide participants with a real-life event log, and we ask them to analyze these data using whatever techniques available, focusing on one or more of the process owner's questions or proving other unique insights into the process captured in the event log.+Since 2011, the IEEE Task Force on process mining organizes a yearly Business Process Intelligence Challenge, or [[http://www.win.tue.nl/bpi|BPI]] Challenge. The goal of this challenge is to bring together practitioners and researchers in the field to show the direct impact of academic work when facing the challenges real-life cases bring. For the BPI challenge, we provide participants with a real-life event log, and we ask them to analyze these data using whatever techniques available, focusing on one or more of the process owner's questions or proving other unique insights into the process captured in the event log.
  
-For [[news:2016_04_29_bpic|2016]], the data was provided by UWV (Employee Insurance Agency), a Dutch autonomous administrative authority (ZBO) which is commissioned by the Ministry of Social Affairs and Employment (SZW) to implement employee insurances and provide labor market and data services in the Netherlands. The data in this collection pertains to customer contacts over a period of 8 months and UWV is looking for insights into their customers' journeys. The data is focused on customers in the WW (unemployment benefits) process. The full dataset is available from [[https://data.4tu.nl/repository/uuid:360795c8-1dd6-4a5b-a443-185001076eab]]. +For 2016, the data was provided by UWV (Employee Insurance Agency), a Dutch autonomous administrative authority (ZBO) which is commissioned by the Ministry of Social Affairs and Employment (SZW) to implement employee insurances and provide labor market and data services in the Netherlands. The data in this collection pertains to customer contacts over a period of 8 months and UWV is looking for insights into their customers' journeys. The data is focused on customers in the WW (unemployment benefits) process. The full dataset is available from [[https://data.4tu.nl/repository/uuid:360795c8-1dd6-4a5b-a443-185001076eab]]. 
  
-This year’s challenge was sponsored by  [[http://www.gradientecm.com/|GRADIENT ECM]]. They not only provided free  [[http://www.minitlabs.com/|Minit]] licenses for participants, but they also allowed for two selected winners to come to Rio de Janeiro to present their work at the 12th international BPI Workshop held there and to receive the award during the dinner of the International Conference on Business Process Management. +This [[http://www.win.tue.nl/bpi/doku.php?id=2016:challenge|year’s challenge]] was sponsored by  [[http://www.gradientecm.com/|GRADIENT ECM]]. They not only provided free  [[http://www.minitlabs.com/|Minit]] licenses for participants, but they also allowed for two selected winners to come to Rio de Janeiro to present their work at the 12th international BPI Workshop held there and to receive the award during the dinner of the International Conference on Business Process Management. 
  
 We received several submissions from all over the world, both from academia and from industry. The jury was pleased with the high quality of the contributions in general, but in the end, two submissions were selected as the best one to present their work in Rio: We received several submissions from all over the world, both from academia and from industry. The jury was pleased with the high quality of the contributions in general, but in the end, two submissions were selected as the best one to present their work in Rio: