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bibliography.bib
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@incollection{van2013discovering,
title={Discovering petri nets from event logs},
author={Van Der Aalst, Wil MP and Van Dongen, Boudewijn F},
booktitle={Transactions on Petri Nets and Other Models of Concurrency VII},
pages={372--422},
year={2013},
publisher={Springer}
}
@incollection{bezerra2009anomaly,
title={Anomaly detection using process mining},
author={Bezerra, F{\'a}bio and Wainer, Jacques and van der Aalst, Wil MP},
booktitle={Enterprise, business-process and information systems modeling},
pages={149--161},
year={2009},
publisher={Springer}
}
@incollection{van2015extracting,
title={Extracting event data from databases to unleash process mining},
author={van der Aalst, Wil MP},
booktitle={BPM-Driving innovation in a digital world},
pages={105--128},
year={2015},
publisher={Springer}
}
@techreport{lambdamart2010,
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year = {2010},
month = {6},
url = {https://www.microsoft.com/en-us/research/publication/from-ranknet-to-lambdarank-to-lambdamart-an-overview/},
}
@article{van2007business,
title={Business process mining: An industrial application},
author={van der Aalst, Wil MP and Reijers, Hajo A and Weijters, Anton JMM and van Dongen, Boudewijn F and De Medeiros, AK Alves and Song, Minseok and Verbeek, HMW},
journal={Information Systems},
volume={32},
number={5},
pages={713--732},
year={2007},
publisher={Elsevier}
}
@inproceedings{getta2014mining,
title={Mining periodic patterns from nested event logs},
author={Getta, Janusz R and Zimniak, Marcin and Benn, Wolfgang},
booktitle={Computer and Information Technology (CIT), 2014 IEEE International Conference on},
pages={160--167},
year={2014},
organization={IEEE}
}
@article{van2004workflow,
title={Workflow mining: Discovering process models from event logs},
author={Van der Aalst, Wil and Weijters, Ton and Maruster, Laura},
journal={IEEE Transactions on Knowledge and Data Engineering},
volume={16},
number={9},
pages={1128--1142},
year={2004},
publisher={IEEE}
}
@article{rozenberg1998lectures,
title={Lectures on Petri Nets I: Basic Models},
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@book{alpaydin,
title={Introduction to machine learning},
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@book{van2016process,
title={Process mining: data science in action},
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@incollection{van2016discovery,
title={Process Discovery: An Introduction},
author={Van der Aalst, Wil},
booktitle={Process Mining},
pages={163--194},
year={2016},
publisher={Springer Berlin Heidelberg}
}
@inproceedings{chomyat2016process,
title={Process mining on medical treatment history using conformance checking},
author={Chomyat, Weekit and Premchaiswadi, Wichian},
booktitle={ICT and Knowledge Engineering (ICT\&KE), 2016 14th International Conference on},
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year={2016},
organization={IEEE}
}
@article{de2016general,
title={A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs},
author={de Leoni, Massimiliano and van der Aalst, Wil MP and Dees, Marcus},
journal={Information Systems},
volume={56},
pages={235--257},
year={2016},
publisher={Elsevier}
}
@article{osgood2000poisson,
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}
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publisher={JSTOR}
}
@book{cohn2004user,
title={User stories applied: For agile software development},
author={Cohn, Mike},
year={2004},
publisher={Addison-Wesley Professional}
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@book{garey1979computers,
title={Computers and intractability: A Guide to the Theory of NP-Completeness},
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@book{nielsen1993usability,
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@online{azurepoisson,
author = {Microsoft Corporation},
title = {{Azure ML Documentation}, Poisson Regression},
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year = {2016},
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urldate = {2017-05-06},
}
@online{azurebdt,
author = {Microsoft Corporation},
title = {{Azure ML Documentation}, Boosted Decision Tree Regression},
month = {6},
year = {2016},
url = {https://msdn.microsoft.com/en-us/library/azure/dn905801.aspx},
urldate = {2017-05-06},
}
@online{eventhubs,
author = {Microsoft Corporation},
title = {{Event Hubs Documentation}, What is Event Hubs?},
month = {5},
year = {2016},
url = {https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-what-is-event-hubs},
urldate = {2017-05-23},
}
@online{eventhubavail,
author = {Microsoft Corporation},
title = {{Event Hubs Documentation}, Availability and consistency in Event Hubs},
month = {5},
year = {2017},
url = {https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-availability-and-consistency},
urldate = {2017-06-07},
}
@online{azureml,
author = {Microsoft Corporation},
title = {{Azure ML Documentation}, Introduction to Azure Machine Learning in the cloud},
month = {2},
year = {2017},
url = {https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-what-is-machine-learning},
urldate = {2017-06-21},
}
@online{azuremlpub,
author = {Microsoft Corporation},
title = {Machine Learning, Microsoft Azure},
year = {2017},
url = {https://azure.microsoft.com/en-us/services/machine-learning/},
urldate = {2017-06-21},
}
@online{visjs,
author = {Almende B.V.},
title = {{vis.js}, A dynamic, browser based visualization library.},
year = {2017},
url = {http://visjs.org/},
urldate = {2017-08-18},
}
@online{efdatafirst,
author = {Microsoft Corporation},
title = {{ASP.NET Data Access Options}, Entity Framework Development Approaches},
year = {2016},
url = {https://msdn.microsoft.com/en-us/library/ms178359.aspx},
urldate = {2017-08-18},
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@online{aspnetmvc,
author = {Microsoft Corporation},
title = {{ASP.NET}, Learn About ASP.NET MVC},
year = {2017},
url = {https://www.asp.net/mvc},
urldate = {2017-08-18},
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@online{entityframework,
author = {Microsoft Corporation},
title = {Introduction to Entity Framework},
year = {2016},
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}