14th International Workshop on Business Process Intelligence 2018

to be held in conjunction with BPM 2018 Sydney, Australia, September 9 - 14, 2018


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2018:start [2018/01/16 09:22]
bfvdonge [Business Process Intelligence (BPI)]
2018:start [2018/08/20 10:48] (current)
bfvdonge [Workshop Program]
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 ~~NOTOC~~ ~~NOTOC~~
 +\\
 ====== Business Process Intelligence (BPI) ====== ====== Business Process Intelligence (BPI) ======
 **Fourteenth International Workshop on Business Process Intelligence (BPI’18) to be held in conjunction with BPM’18** **Fourteenth International Workshop on Business Process Intelligence (BPI’18) to be held in conjunction with BPM’18**
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 <tr style="​text-align:​center">​ <tr style="​text-align:​center">​
 <td> <td>
-This year's BPI Workshop is a two day event, featuring:+This year's BPI Workshop is a one day event focusing particularly on process mining in the context of big data. The workshop has a long tradition at the BPM conference and willas before, be featuring:
 <ul> <ul>
   <li> The presentation of interesting research papers in the BPI domain, </li>   <li> The presentation of interesting research papers in the BPI domain, </li>
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 |- style="​background-color:#​f0f0d3;"​ |- style="​background-color:#​f0f0d3;"​
 |Deadline for abstract submissions: ​           ​ |Deadline for abstract submissions: ​           ​
-| valign="​center"​ | 18 May 2018+| valign="​center"​ | <​del>​25 ​May 2018</​del>​ 8 June 2018
  
 | |
 |-  |- 
 |Deadline for workshop paper submissions: ​ |Deadline for workshop paper submissions: ​
-| valign="​center"​ | 25 May 2018+| valign="​center"​ | <del>25 May 2018</​del>​ 8 June 2018
  
 |                                                                ​ |                                                                ​
 |- style="​background-color:#​f0f0d3;"​ |- style="​background-color:#​f0f0d3;"​
 |Notification of acceptance: ​             ​ |Notification of acceptance: ​             ​
-| valign="​center"​ | 26 June 2017+| valign="​center"​ | 26 June 2018
  
 | |
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 | |
 |- style="​background-color:#​f0f0d3;"​ |- style="​background-color:#​f0f0d3;"​
-|Workshop ​Days:                             +|Workshop ​Day:                             
-| valign="​center"​ | 9-10 September 2018+| valign="​center"​ | 10 September 2018
  
 | |
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 ===== Workshop Program ===== ===== Workshop Program =====
-The BPI 2018 workshop will be held on 9 - 10 September 2018 in Sydney, Australia. The accepted papers will be presented during the workshop and authors have ample time for their presentations and discussion.+The BPI 2018 workshop will be held on 10th September 2018 in Sydney, Australia. The accepted papers will be presented during the workshop and authors have ample time for their presentations and discussion.
  
-At the end of the workshop, the winner for the international Business Process Intelligence Challenge ([[:​2018:​Challenge|BPI Challenge]]) ​and of the third [[  +At the end of the workshop, the winner for the international Business Process Intelligence Challenge ([[:​2018:​Challenge|BPI Challenge]]) will be announced. ​
-https://​www.win.tue.nl/​ieeetfpm/​doku.php?​id=shared:​process_discovery_contest|Process Discovery Contest]] ​will be announced. ​+
  
 +<​exttab1>​
 +{|
 +|- style="​background-color:#​cccc99;"​
 +|<​b>​Monday</​b>​
 +|<​b>​10 september 2018</​b>​
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|9:00 - 9:05
 +| Opening
 +|
 +|-
 +|9:05 - 9:45
 +| Jana-Rebecca Rehse and Peter Fettke. </​br><​a href="​http://​www.win.tue.nl/​bpi/​lib/​exe/​fetch.php?​media=2018:​bpi2018_paper_2.pdf"><​b>​Clustering Business Process Activities for Identifying Reference Model Components</​b></​a>​
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|9:50 - 10:30
 +| Maikel van Eck, Natalia Sidorova and Wil van der Aalst. </​br><​a href="​http://​www.win.tue.nl/​bpi/​lib/​exe/​fetch.php?​media=2018:​bpi2018_paper_4.pdf"><​b>​Multi-Instance Mining: Discovering Synchronisation in Artifact-Centric Processes</​b></​a>​
 +|
 +|- 
 +|10:30 - 11:00
 +| <​i>​Coffee break</​i>​
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|11:00 - 11:40
 +| Wai Lam Jonathan Lee, Jorge Munoz-Gama, H.M.W. Verbeek, Wil M.P. van der Aalst and Marcos Sepúlveda. </​br><​a href="​http://​www.win.tue.nl/​bpi/​lib/​exe/​fetch.php?​media=2018:​bpi2018_paper_1.pdf"><​b>​Improving merging conditions for recomposing conformance checking</​b></​a>​
 +|
 +|- 
 +|11:45 - 12:25
 +| Boudewijn van Dongen. </​br><​a href="​http://​www.win.tue.nl/​bpi/​lib/​exe/​fetch.php?​media=2018:​bpi2018_paper_5.pdf"><​b>​Efficiently Computing Alignments - Algorithm and Datastructures</​b></​b>​
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|12:30 - 14:00
 +| <​i>​Lunch break</​i> ​
 +|
 +|-
 +|14:00 - 14:40
 +| Galina Deeva and Jochen De Weerdt. </​br><​a href="​http://​www.win.tue.nl/​bpi/​lib/​exe/​fetch.php?​media=2018:​bpi2018_paper_21.pdf"><​b>​Understanding automated feedback in learning processes by mining local patterns</​b></​a>​
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|14:45 - 15:00
 +| Announcement BPI Challenge Winners
 +|
 +|- 
 +|15:00 - 15:30
 +| BPI Challenge professional winner
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|15:30 - 16:00
 +| <​i>​Coffee break</​i>​
 +|
 +|- 
 +|16:00 - 16:30
 +| BPI Challenge academic winner ​
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|16:30 - 17:00
 +| BPI Challenge student winner ​
 +|
 +|- 
 +|17:00 - 17:00
 +| Workshop closing ​
 +|
 +|- style="​background-color:#​f0f0d3;"​
 +|17:00 - 18:00
 +| <​b>​Meeting IEEE Task Force on Process Mining</​b>​
 +|
 +|- 
 +|19:00 onwards
 +|<​i>​Welcome reception</​i>​
 +|
 +|}
 +</​exttab1>​
  
 ===== Description ===== ===== Description =====
 Business Process Intelligence (BPI) refers to the application of data- and process-mining techniques in the field of Business Process Management. BPI is an area that spans process mining, process discovery, conformance checking, predictive analytics and many other techniques that are all gaining interest and importance in industry and research. In practice, BPI is embodied in tools for managing process execution by offering several features such as analysis, prediction, monitoring, control, and optimization. Business Process Intelligence (BPI) refers to the application of data- and process-mining techniques in the field of Business Process Management. BPI is an area that spans process mining, process discovery, conformance checking, predictive analytics and many other techniques that are all gaining interest and importance in industry and research. In practice, BPI is embodied in tools for managing process execution by offering several features such as analysis, prediction, monitoring, control, and optimization.
  
-The two-day ​workshop aims at discussing the current state of ongoing research and sharing practical experiences,​ exchanging ideas and setting up future research directions. We aim to bring together practitioners and researchers from different communities such as business process management, information systems, business administration,​ software engineering,​ artificial intelligence,​ process mining, and data mining who share an interest in the analysis of business processes and process-aware information systems.+The workshop aims at discussing the current state of ongoing research and sharing practical experiences,​ exchanging ideas and setting up future research directions. We aim to bring together practitioners and researchers from different communities such as business process management, information systems, business administration,​ software engineering,​ artificial intelligence,​ process mining, and data mining who share an interest in the analysis of business processes and process-aware information systems.
  
 The list of topics that are relevant to the BPI workshop includes, but is not limited to:  The list of topics that are relevant to the BPI workshop includes, but is not limited to: 
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 <​tr><​td>​ <​tr><​td>​
 <​b>​Andrea Burattin</​b><​br>​ <​b>​Andrea Burattin</​b><​br>​
-Institut für Informatik<​br>​ +Department of Applied Mathematics and Computer Science<br/>  
-Universität Innsbruck<​br>​ +Technical University of Denmark<br/
-Technikerstraße 21a, 6020 Innsbruck, Austria<​br>​ +E-mail: <a href="​mailto:​andbur@dtu.dk">andbur@dtu.dk</​a><​br>​
-Tel.: +43 507 512 6474<​br>​ +
-E-mail: <a href="​mailto:​andrea.burattin@uibk.ac.at">andrea.burattin@uibk.ac.at</​a><​br>​+
 URL: <a href="​http://​andrea.burattin.net">​http://​andrea.burattin.net</​a>​ URL: <a href="​http://​andrea.burattin.net">​http://​andrea.burattin.net</​a>​
 </​td><​td>​ </​td><​td>​