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2018:challenge [2018/09/10 07:05] bfvdonge [The Challenge] |
2018:challenge [2018/09/18 12:21] (current) bfvdonge [The Challenge] |
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| We expect participants can focus on a //specific aspect// of interest and analyze this aspect in great detail. Here, one can choose for example to focus on specific models, such as control-flow models, social network models, performance models, predictive models, etc. | We expect participants can focus on a //specific aspect// of interest and analyze this aspect in great detail. Here, one can choose for example to focus on specific models, such as control-flow models, social network models, performance models, predictive models, etc. | ||
| - | The winner: **Jarno Brils, Nina van den Elsen, Jan de Priester and Tom Slooff** with their report entitled | + | The winner: **Jarno Brils, Nina van den Elsen, Jan de Priester and Tom Slooff** of the **[[https://educationguide.tue.nl/programs/tue-honors-academy/|Honors Academy of Eindhoven University of Techology]]** with their report entitled |
| //{{:2018:bpi2018_paper_15.pdf|Analysis and Prediction of Undesired Outcomes}}// | //{{:2018:bpi2018_paper_15.pdf|Analysis and Prediction of Undesired Outcomes}}// | ||
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| This category targets academics. The focus in this category is much more on the novelty of the techniques applied than the actual results. This provides a great opportunity for BPI researchers to show the practical applicability of their tools and/or techniques on real-life data. | This category targets academics. The focus in this category is much more on the novelty of the techniques applied than the actual results. This provides a great opportunity for BPI researchers to show the practical applicability of their tools and/or techniques on real-life data. | ||
| - | The winner: **Stephen Pauwels and Toon Calders** with their report entitled | + | The winner: **Stephen Pauwels and Toon Calders** of the **[[https://www.uantwerpen.be/nl/|University of Antwerp]]** with their report entitled |
| //{{:2018:bpi2018_paper_10.pdf|Detecting and Explaining Drifts in Yearly Grant Applications}}// | //{{:2018:bpi2018_paper_10.pdf|Detecting and Explaining Drifts in Yearly Grant Applications}}// | ||
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| This category targets professionals to show their skills in analyzing business processes. The submitted reports are judged on their level of professionalism. The participants are expected to report on a broader range of aspects, where each aspect does not have to be developed in full detail. The report submitted in this category will be judged on its //completeness of analysis// and usefulness for the purpose of a real-life business improvement setting. | This category targets professionals to show their skills in analyzing business processes. The submitted reports are judged on their level of professionalism. The participants are expected to report on a broader range of aspects, where each aspect does not have to be developed in full detail. The report submitted in this category will be judged on its //completeness of analysis// and usefulness for the purpose of a real-life business improvement setting. | ||
| - | The winner: **Lalit Wangikar, Sumit Dhuwalia, Abhilasha Yadav, Bhavy Dikshit and Dikshant Yadav** with their report entitled | + | The winner: **Lalit Wangikar, Sumit Dhuwalia, Abhilasha Yadav, Bhavy Dikshit and Dikshant Yadav** from **[[https://www.cognitioanalytics.com/|Cognitio Analytics]]** with their report entitled |
| //{{:2018:bpi2018_paper_20.pdf|Faster Payments to Farmers: Analysis of the Direct Payments Process of EU's Agricultural Guarantee Fund}}// | //{{:2018:bpi2018_paper_20.pdf|Faster Payments to Farmers: Analysis of the Direct Payments Process of EU's Agricultural Guarantee Fund}}// | ||