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NameShort descriptiondata linkchallenge linkCitations (Stand Februar 2023)PublicationsProcess Discovery/ DeclarativeConformance Checking / Alignment / ReplayOnline / Streaming / RealtimePerformance (Analysis) / Temporal / TimePredict(ive)/ Monitoring/ PrescriptiveTrace clustering / ClusteringPreprocessing / Event Abstraction / Event Data CorrelationFurther keywords:
0Sepsis Cases - Event LogThis real-life event log contains events of se...https://data.4tu.nl/articles/dataset/Sepsis_Ca...https://data.4tu.nl/articles/dataset/Sepsis_Ca...61https://app.dimensions.ai/discover/publication...17741822(machine) learning, (online process) monitorin...
1BPI 2017 - Offer LogContains data from a financial institute inclu...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2017:ch...4https://app.dimensions.ai/discover/publication...1001100(machine) learning, cloud computing
2Road Traffic Fine Management Process (not BPI)A real-life event log taken from an informatio...https://data.4tu.nl/articles/dataset/Road_Traf...NaN95https://app.dimensions.ai/discover/publication...329481512alarm-based prescriptive process monitoring, b...
3BPI 2011Contains data from from a Dutch Academic Hospi...https://data.4tu.nl/articles/dataset/Real-life...https://www.win.tue.nl/bpi/doku.php?id=2011:ch...57https://app.dimensions.ai/discover/publication...131341241(compliance) monitoring, (machine) learning, d...
4BPI 2012Contains the event log of an application proce...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2012:ch...151https://app.dimensions.ai/discover/publication...40154134601(in)frequent patterns in process models, (mach...
5BPI 2013 - Open ProblemsRabobank Group ICT implemented ITIL processes ...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/2013/challenge.html6https://app.dimensions.ai/discover/publication...1000100(in)frequent patterns in process models, (mach...
6BPI 2013 - Closed ProblemsRabobank Group ICT implemented ITIL processes ...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2013:ch...12https://app.dimensions.ai/discover/publication...3212003(in)frequent patterns in process models
7BPI 2013 - IncidentsThe log contains events from an incident and p...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/2013/challenge.html36https://app.dimensions.ai/discover/publication...14511702(machine) learning, rule mining
8BPI 2014 - Incident RecordsRabobank Group ICT implemented ITIL processes ...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2014:ch...5https://app.dimensions.ai/discover/publication...1000000privacy preservation, security
9BPI 2014 - Interaction RecordsRabobank Group ICT implemented ITIL processes ...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2014:ch...1https://app.dimensions.ai/discover/publication...0000000(machine) learning, hidden Markov models
10BPI 2015 - Log 3Provided by 5 Dutch municipalities. The data c...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2015:ch...1https://app.dimensions.ai/discover/publication...0000100specification-driven predictive business proce...
11BPI 2015 - Log 1Provided by 5 Dutch municipalities. The data c...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2015:ch...8https://app.dimensions.ai/discover/publication...1100303(machine) learning
12BPI 2016 - Clicks Logged InContains clicks of users that are logged in fr...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2016:ch...1https://app.dimensions.ai/discover/publication...1010000automation
13BPI 2017 - Application LogContains data from a financial institute inclu...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2017:ch...73https://app.dimensions.ai/discover/publication...1152142311(machine) learning, alarm-based prescriptive p...
14BPI 2018The process covers the handling of application...https://data.4tu.nl/articles/dataset/BPI_Chall...https://www.win.tue.nl/bpi/doku.php?id=2018:ch...26https://app.dimensions.ai/discover/publication...7120802(machine) learning, automation
15BPI 2020 - Travel PermitsContains 2 years of data from the reimbursemen...https://data.4tu.nl/articles/dataset/BPI_Chall...https://icpmconference.org/2020/bpi-challenge/2https://app.dimensions.ai/discover/publication...0001000stage-based process performance analysis
16BPI 2019Contains the purchase order handling process o...https://data.4tu.nl/articles/dataset/BPI_Chall...https://icpmconference.org/2019/icpm-2019/cont...35https://app.dimensions.ai/discover/publication...3166941(online process) monitoring, remaining time pr...
17BPI 2020 - International DeclarationsContains 2 years of data from the reimbursemen...https://data.4tu.nl/articles/dataset/BPI_Chall...https://icpmconference.org/2020/bpi-challenge/2https://app.dimensions.ai/discover/publication...0001200(machine) learning, remaining time prediction
18BPI 2020 - Domestic DeclarationsContains 2 years of data from the reimbursemen...https://data.4tu.nl/articles/dataset/BPI_Chall...https://icpmconference.org/2020/bpi-challenge/7https://app.dimensions.ai/discover/publication...0222300(machine) learning, remaining time prediction
19BPI 2020 - Prepaid Travel CostContains 2 years of data from the reimbursemen...https://data.4tu.nl/articles/dataset/BPI_Chall...https://icpmconference.org/2020/bpi-challenge/2https://app.dimensions.ai/discover/publication...0000000multi-perspective
20HelpdeskTicketing management process of the Help desk ...https://data.4tu.nl/articles/dataset/Dataset_b...NaN20https://app.dimensions.ai/discover/publication...4131800(machine) learning, drift detection
21Receipt phase of an environmental permit appli...Data originates from the CoSeLoG project where...https://data.4tu.nl/articles/dataset/Receipt_p...NaN15https://data.4tu.nl/articles/dataset/Receipt_p...-1-1-1-1-1-1-1NaN
22Environmental permit application process (‘WAB...Data originates from the CoSeLoG project where...https://data.4tu.nl/articles/dataset/Environme...NaN2https://app.dimensions.ai/discover/publication...0000100predictions with a-priori knowledge
23Environmental permit application process (‘WAB...Data originates from the CoSeLoG project where...https://data.4tu.nl/articles/dataset/Environme...NaN2https://app.dimensions.ai/discover/publication...1000000multidimensional process mining, process cubes
24NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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" ], "text/plain": [ " Name \\\n", "0 Sepsis Cases - Event Log \n", "1 BPI 2017 - Offer Log \n", "2 Road Traffic Fine Management Process (not BPI) \n", "3 BPI 2011 \n", "4 BPI 2012 \n", "5 BPI 2013 - Open Problems \n", "6 BPI 2013 - Closed Problems \n", "7 BPI 2013 - Incidents \n", "8 BPI 2014 - Incident Records \n", "9 BPI 2014 - Interaction Records \n", "10 BPI 2015 - Log 3 \n", "11 BPI 2015 - Log 1 \n", "12 BPI 2016 - Clicks Logged In \n", "13 BPI 2017 - Application Log \n", "14 BPI 2018 \n", "15 BPI 2020 - Travel Permits \n", "16 BPI 2019 \n", "17 BPI 2020 - International Declarations \n", "18 BPI 2020 - Domestic Declarations \n", "19 BPI 2020 - Prepaid Travel Cost \n", "20 Helpdesk \n", "21 Receipt phase of an environmental permit appli... \n", "22 Environmental permit application process (‘WAB... \n", "23 Environmental permit application process (‘WAB... \n", "24 NaN \n", "\n", " Short description \\\n", "0 This real-life event log contains events of se... \n", "1 Contains data from a financial institute inclu... \n", "2 A real-life event log taken from an informatio... \n", "3 Contains data from from a Dutch Academic Hospi... \n", "4 Contains the event log of an application proce... \n", "5 Rabobank Group ICT implemented ITIL processes ... \n", "6 Rabobank Group ICT implemented ITIL processes ... \n", "7 The log contains events from an incident and p... \n", "8 Rabobank Group ICT implemented ITIL processes ... \n", "9 Rabobank Group ICT implemented ITIL processes ... \n", "10 Provided by 5 Dutch municipalities. The data c... \n", "11 Provided by 5 Dutch municipalities. The data c... \n", "12 Contains clicks of users that are logged in fr... \n", "13 Contains data from a financial institute inclu... \n", "14 The process covers the handling of application... \n", "15 Contains 2 years of data from the reimbursemen... \n", "16 Contains the purchase order handling process o... \n", "17 Contains 2 years of data from the reimbursemen... \n", "18 Contains 2 years of data from the reimbursemen... \n", "19 Contains 2 years of data from the reimbursemen... \n", "20 Ticketing management process of the Help desk ... \n", "21 Data originates from the CoSeLoG project where... \n", "22 Data originates from the CoSeLoG project where... \n", "23 Data originates from the CoSeLoG project where... \n", "24 NaN \n", "\n", " data link \\\n", "0 https://data.4tu.nl/articles/dataset/Sepsis_Ca... \n", "1 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "2 https://data.4tu.nl/articles/dataset/Road_Traf... \n", "3 https://data.4tu.nl/articles/dataset/Real-life... \n", "4 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "5 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "6 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "7 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "8 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "9 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "10 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "11 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "12 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "13 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "14 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "15 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "16 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "17 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "18 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "19 https://data.4tu.nl/articles/dataset/BPI_Chall... \n", "20 https://data.4tu.nl/articles/dataset/Dataset_b... \n", "21 https://data.4tu.nl/articles/dataset/Receipt_p... \n", "22 https://data.4tu.nl/articles/dataset/Environme... \n", "23 https://data.4tu.nl/articles/dataset/Environme... \n", "24 NaN \n", "\n", " challenge link \\\n", "0 https://data.4tu.nl/articles/dataset/Sepsis_Ca... \n", "1 https://www.win.tue.nl/bpi/doku.php?id=2017:ch... \n", "2 NaN \n", "3 https://www.win.tue.nl/bpi/doku.php?id=2011:ch... \n", "4 https://www.win.tue.nl/bpi/doku.php?id=2012:ch... \n", "5 https://www.win.tue.nl/bpi/2013/challenge.html \n", "6 https://www.win.tue.nl/bpi/doku.php?id=2013:ch... \n", "7 https://www.win.tue.nl/bpi/2013/challenge.html \n", "8 https://www.win.tue.nl/bpi/doku.php?id=2014:ch... \n", "9 https://www.win.tue.nl/bpi/doku.php?id=2014:ch... \n", "10 https://www.win.tue.nl/bpi/doku.php?id=2015:ch... \n", "11 https://www.win.tue.nl/bpi/doku.php?id=2015:ch... \n", "12 https://www.win.tue.nl/bpi/doku.php?id=2016:ch... \n", "13 https://www.win.tue.nl/bpi/doku.php?id=2017:ch... \n", "14 https://www.win.tue.nl/bpi/doku.php?id=2018:ch... \n", "15 https://icpmconference.org/2020/bpi-challenge/ \n", "16 https://icpmconference.org/2019/icpm-2019/cont... \n", "17 https://icpmconference.org/2020/bpi-challenge/ \n", "18 https://icpmconference.org/2020/bpi-challenge/ \n", "19 https://icpmconference.org/2020/bpi-challenge/ \n", "20 NaN \n", "21 NaN \n", "22 NaN \n", "23 NaN \n", "24 NaN \n", "\n", " Citations (Stand Februar 2023) \\\n", "0 61 \n", "1 4 \n", "2 95 \n", "3 57 \n", "4 151 \n", "5 6 \n", "6 12 \n", "7 36 \n", "8 5 \n", "9 1 \n", "10 1 \n", "11 8 \n", "12 1 \n", "13 73 \n", "14 26 \n", "15 2 \n", "16 35 \n", "17 2 \n", "18 7 \n", "19 2 \n", "20 20 \n", "21 15 \n", "22 2 \n", "23 2 \n", "24 NaN \n", "\n", " Publications \\\n", "0 https://app.dimensions.ai/discover/publication... \n", "1 https://app.dimensions.ai/discover/publication... \n", "2 https://app.dimensions.ai/discover/publication... \n", "3 https://app.dimensions.ai/discover/publication... \n", "4 https://app.dimensions.ai/discover/publication... \n", "5 https://app.dimensions.ai/discover/publication... \n", "6 https://app.dimensions.ai/discover/publication... \n", "7 https://app.dimensions.ai/discover/publication... \n", "8 https://app.dimensions.ai/discover/publication... \n", "9 https://app.dimensions.ai/discover/publication... \n", "10 https://app.dimensions.ai/discover/publication... \n", "11 https://app.dimensions.ai/discover/publication... \n", "12 https://app.dimensions.ai/discover/publication... \n", "13 https://app.dimensions.ai/discover/publication... \n", "14 https://app.dimensions.ai/discover/publication... \n", "15 https://app.dimensions.ai/discover/publication... \n", "16 https://app.dimensions.ai/discover/publication... \n", "17 https://app.dimensions.ai/discover/publication... \n", "18 https://app.dimensions.ai/discover/publication... \n", "19 https://app.dimensions.ai/discover/publication... \n", "20 https://app.dimensions.ai/discover/publication... \n", "21 https://data.4tu.nl/articles/dataset/Receipt_p... \n", "22 https://app.dimensions.ai/discover/publication... \n", "23 https://app.dimensions.ai/discover/publication... \n", "24 NaN \n", "\n", " Process Discovery/ Declarative Conformance Checking / Alignment / Replay \\\n", "0 17 7 \n", "1 1 0 \n", "2 32 9 \n", "3 13 1 \n", "4 40 15 \n", "5 1 0 \n", "6 3 2 \n", "7 14 5 \n", "8 1 0 \n", "9 0 0 \n", "10 0 0 \n", "11 1 1 \n", "12 1 0 \n", "13 11 5 \n", "14 7 1 \n", "15 0 0 \n", "16 3 1 \n", "17 0 0 \n", "18 0 2 \n", "19 0 0 \n", "20 4 1 \n", "21 -1 -1 \n", "22 0 0 \n", "23 1 0 \n", "24 NaN NaN \n", "\n", " Online / Streaming / Realtime Performance (Analysis) / Temporal / Time \\\n", "0 4 1 \n", "1 0 1 \n", "2 4 8 \n", "3 3 4 \n", "4 4 13 \n", "5 0 0 \n", "6 1 2 \n", "7 1 1 \n", "8 0 0 \n", "9 0 0 \n", "10 0 0 \n", "11 0 0 \n", "12 1 0 \n", "13 2 14 \n", "14 2 0 \n", "15 0 1 \n", "16 6 6 \n", "17 0 1 \n", "18 2 2 \n", "19 0 0 \n", "20 3 1 \n", "21 -1 -1 \n", "22 0 0 \n", "23 0 0 \n", "24 NaN NaN \n", "\n", " Predict(ive)/ Monitoring/ Prescriptive Trace clustering / Clustering \\\n", "0 8 2 \n", "1 1 0 \n", "2 15 1 \n", "3 12 4 \n", "4 46 0 \n", "5 1 0 \n", "6 0 0 \n", "7 7 0 \n", "8 0 0 \n", "9 0 0 \n", "10 1 0 \n", "11 3 0 \n", "12 0 0 \n", "13 23 1 \n", "14 8 0 \n", "15 0 0 \n", "16 9 4 \n", "17 2 0 \n", "18 3 0 \n", "19 0 0 \n", "20 8 0 \n", "21 -1 -1 \n", "22 1 0 \n", "23 0 0 \n", "24 NaN NaN \n", "\n", " Preprocessing / Event Abstraction / Event Data Correlation \\\n", "0 2 \n", "1 0 \n", "2 2 \n", "3 1 \n", "4 1 \n", "5 0 \n", "6 3 \n", "7 2 \n", "8 0 \n", "9 0 \n", "10 0 \n", "11 3 \n", "12 0 \n", "13 1 \n", "14 2 \n", "15 0 \n", "16 1 \n", "17 0 \n", "18 0 \n", "19 0 \n", "20 0 \n", "21 -1 \n", "22 0 \n", "23 0 \n", "24 NaN \n", "\n", " Further keywords: \n", "0 (machine) learning, (online process) monitorin... \n", "1 (machine) learning, cloud computing \n", "2 alarm-based prescriptive process monitoring, b... \n", "3 (compliance) monitoring, (machine) learning, d... \n", "4 (in)frequent patterns in process models, (mach... \n", "5 (in)frequent patterns in process models, (mach... \n", "6 (in)frequent patterns in process models \n", "7 (machine) learning, rule mining \n", "8 privacy preservation, security \n", "9 (machine) learning, hidden Markov models \n", "10 specification-driven predictive business proce... \n", "11 (machine) learning \n", "12 automation \n", "13 (machine) learning, alarm-based prescriptive p... \n", "14 (machine) learning, automation \n", "15 stage-based process performance analysis \n", "16 (online process) monitoring, remaining time pr... \n", "17 (machine) learning, remaining time prediction \n", "18 (machine) learning, remaining time prediction \n", "19 multi-perspective \n", "20 (machine) learning, drift detection \n", "21 NaN \n", "22 predictions with a-priori knowledge \n", "23 multidimensional process mining, process cubes \n", "24 NaN " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#import pm4py\n", "import pandas as pd\n", "INPUT_PATH = \"../data/mappings.csv\"\n", "df = pd.read_csv(INPUT_PATH, sep = \";\", dtype = \"unicode\")\n", "df" ] }, { "cell_type": "code", "execution_count": null, "id": "04a97f37", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.7" } }, "nbformat": 4, "nbformat_minor": 5 }