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MasterThesis2017.bbl
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\begin{thebibliography}{10}
\providecommand{\url}[1]{\texttt{#1}}
\providecommand{\urlprefix}{URL }
\bibitem{bpichallenge2011}
{3TU Data Center}: {BPI Challenge 2011 Event Log} (2011),
doi:10.4121/uuid:d9769f3d-0ab0-4fb8-803b-0d1120ffcf54
\bibitem{vanderAalst2005}
van~der Aalst, W.M.P., de~Beer, H.T., van Dongen, B.F.: Process Mining and
Verification of Properties: An Approach Based on Temporal Logic, pp.
130--147. Springer Berlin Heidelberg, Berlin, Heidelberg (2005),
\url{http://dx.doi.org/10.1007/11575771_11}
\bibitem{vanderAalst2010}
van~der Aalst, W.M.P., Pesic, M., Song, M.: Beyond Process Mining: From the
Past to Present and Future, pp. 38--52. Springer Berlin Heidelberg, Berlin,
Heidelberg (2010), \url{http://dx.doi.org/10.1007/978-3-642-13094-6_5}
\bibitem{DBLP:journals/is/AalstSS11}
van~der Aalst, W.M.P., Schonenberg, M.H., Song, M.: Time prediction based on
process mining. Information Systems 36(2), 450--475 (2011)
\bibitem{tensorflow2015-whitepaper}
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado,
G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A.,
Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M.,
Levenberg, J., Man\'{e}, D., Monga, R., Moore, S., Murray, D., Olah, C.,
Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P.,
Vanhoucke, V., Vasudevan, V., Vi\'{e}gas, F., Vinyals, O., Warden, P.,
Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: {TensorFlow}: Large-scale
machine learning on heterogeneous systems (2015),
\url{\url{http://tensorflow.org/}}, software available from tensorflow.org
\bibitem{breuker2016comprehensible}
Breuker, D., Matzner, M., Delfmann, P., Becker, J.: Comprehensible predictive
models for business processes. MIS Quarterly 40(4), 1009--1034 (2016)
\bibitem{EnvironmentalLog}
Buijs, J.: Environmental permit application process (``wabo''), coselog project
- municipality 4 (2014),
\url{https://doi.org/10.4121/uuid:e8c3a53d-5301-4afb-9bcd-38e74171ca32}
\bibitem{chollet2015keras}
Chollet, F.: Keras. \url{https://github.com/fchollet/keras} (2015)
\bibitem{DBLP:conf/caise/ConfortiLRA13}
Conforti, R., de~Leoni, M., Rosa, M.L., van~der Aalst, W.M.P.: Supporting
risk-informed decisions during business process execution. In: {Proc. of
CAiSE 2013}. pp. 116--132. Springer (2013)
\bibitem{py4j}
Dagenais, B.: {py4j}: A bridge between python and java (2016),
\url{\url{https://www.py4j.org}}, software available from py4j.org
\bibitem{Damerau:1964:TCD:363958.363994}
Damerau, F.J.: A technique for computer detection and correction of spelling
errors. Commun. ACM 7(3), 171--176 (Mar 1964)
\bibitem{Di-Francescomarino:2016aa}
{Di Francescomarino}, C., Dumas, M., Maggi, F.M., Teinemaa, I.:
Clustering-based predictive process monitoring. IEEE Transactions on Services
Computing PP(99) (2016)
\bibitem{bpichallenge2012}
van Dongen, B.: Bpi challenge 2012 (2012),
\url{http://dx.doi.org/10.4121/uuid:3926db30-f712-4394-aebc-75976070e91f}
\bibitem{bpichallenge2017}
van Dongen, B.: Bpi challenge 2017 (2017),
\url{https://doi.org/10.4121/uuid:5f3067df-f10b-45da-b98b-86ae4c7a310b}
\bibitem{evermann}
Evermann, N., Rehse, J.R., Fettke, P.: A deep learning approach for predicting
process behaviour at runtime. In: PRAISE-2016 (2016)
\bibitem{evermann2}
Evermann, J., R.J., Fettke, P.: Xes tensorow - process prediction using the
tensorflow deep-learning framework. In: CAiSE-2016 (2017)
\bibitem{Folino}
Folino, F., Guarascio, M., Pontieri, L.: Discovering context-aware models for
predicting business process performances. In: {Proc. of On the Move to
Meaningful Internet Systems (OTM)}, pp. 287--304. Springer (2012)
\bibitem{goodfellow2016dlbook}
Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning, chap. Sequence
Modeling: Recurrent and Recursive Nets, pp. 373--420. MIT Press (2016)
\bibitem{graves2013icassp}
Graves, A., Mohamed, A.R., Hinton, G.E.: Speech recognition with deep recurrent
neural networks. In: IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP). pp. 6645--6649. IEEE (2013)
\bibitem{hochreiter1997long}
Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural computation
9(8), 1735--1780 (1997)
\bibitem{doi:10.1108/02635571111137241}
Kang, B., Jung, J.Y., Cho, N.W., Kang, S.H.: Real time business process
monitoring using formal concept analysis. Industrial Management \& Data
Systems 111(5), 652--674 (2011),
\url{http://dx.doi.org/10.1108/02635571111137241}
\bibitem{Koehn2007MOSEStranslationSystem}
Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi,
N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O.,
Constantin, A., Herbst, E.: Moses: Open source toolkit for statistical
machine translation. In: Proceedings of the 45th Annual Meeting of the ACL on
Interactive Poster and Demonstration Sessions. pp. 177--180. ACL '07,
Association for Computational Linguistics, Stroudsburg, PA, USA (2007),
\url{http://dl.acm.org/citation.cfm?id=1557769.1557821}
\bibitem{Lam20096986}
Lam, C., Ip, W., Lau, C.: A business process activity model and performance
measurement using a time series \{ARIMA\} intervention analysis. Expert
Systems with Applications 36(3, Part 2), 6986 -- 6994 (2009),
\url{http://www.sciencedirect.com/science/article/pii/S0957417408006076}
\bibitem{Leontjeva2015}
Leontjeva, A., Conforti, R., Di~Francescomarino, C., Dumas, M., Maggi, F.M.:
Complex symbolic sequence encodings for predictive monitoring of business
processes. In: BPM 2015, pp. 297--313 (2015)
\bibitem{Maggi2012}
Maggi, F.M., Bose, R.P.J.C., van~der Aalst, W.M.P.: Efficient Discovery of
Understandable Declarative Process Models from Event Logs, pp. 270--285.
Springer Berlin Heidelberg, Berlin, Heidelberg (2012),
\url{http://dx.doi.org/10.1007/978-3-642-31095-9_18}
\bibitem{Maggi:CAiSE2014}
Maggi, F.M., {Di Francescomarino}, C., Dumas, M., Ghidini, C.: Predictive
monitoring of business processes. In: CAiSE 2014. LNCS, vol. 8484, pp.
457--472. Springer (2014)
\bibitem{Metzgeretal12}
Metzger, A., Franklin, R., Engel, Y.: Predictive monitoring of heterogeneous
service-oriented business networks: The transport and logistics case. In:
Proceedings of the 2012 Annual SRII Global Conference. pp. 313--322. SRII
'12, IEEE Computer Society, Washington, DC, USA (2012)
\bibitem{Pika}
Pika, A., van~der Aalst, W.M.P., Fidge, C.J., ter Hofstede, A.H.M., Wynn, M.T.:
Predicting Deadline Transgressions Using Event Logs, pp. 211--216. Springer
Berlin Heidelberg, Berlin, Heidelberg (2013)
\bibitem{Pnueli77}
Pnueli, A.: The temporal logic of programs. In: 18th Annual Symposium on
Foundations of Computer Science, Providence, Rhode Island, USA, 31 October -
1 November 1977. pp. 46--57. {IEEE} Computer Society (1977)
\bibitem{Polatoetal:2016}
Polato, M., Sperduti, A., Burattin, A., de~Leoni, M.: Time and activity
sequence prediction of business process instances. CoRR abs/1602.07566
(2016)
\bibitem{Rogge-Solti2015PBP}
Rogge-Solti, A., Weske, M.: Prediction of business process durations using
non-markovian stochastic petri nets. Inf. Syst. 54(C), 1--14 (Dec 2015),
\url{http://dx.doi.org/10.1016/j.is.2015.04.004}
\bibitem{Schonenberg2008}
Schonenberg, H., Weber, B., van Dongen, B., van~der Aalst, W.: Supporting
Flexible Processes through Recommendations Based on History, pp. 51--66.
Springer Berlin Heidelberg, Berlin, Heidelberg (2008),
\url{http://dx.doi.org/10.1007/978-3-540-85758-7_7}
\bibitem{Senderovichetal15}
Senderovich, A., Weidlich, M., Gal, A., Mandelbaum, A.: Queue mining for delay
prediction in multi-class service processes. Inf. Syst. 53, 278--295 (2015)
\bibitem{bpichallenge2013}
Steeman, W.: Bpi challenge 2013 (2013),
\url{https://doi.org/10.4121/uuid:a7ce5c55-03a7-4583-b855-98b86e1a2b07}
\bibitem{suriadi}
Suriadi, S., Ouyang, C., van~der Aalst, W.M.P., ter Hofstede, A.H.M.: Root
Cause Analysis with Enriched Process Logs, pp. 174--186. Springer Berlin
Heidelberg, Berlin, Heidelberg (2013)
\bibitem{Sutskever2014SSL29690332969173}
Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural
networks. In: Proceedings of the 27th International Conference on Neural
Information Processing Systems. pp. 3104--3112. NIPS'14, MIT Press,
Cambridge, MA, USA (2014),
\url{http://dl.acm.org/citation.cfm?id=2969033.2969173}
\bibitem{niek96732}
Tax, N., Verenich, I., Rosa, M.L., Dumas, M.: Predictive business process
monitoring with lstm neural networks (2017), to appear in CAiSE 2017
\bibitem{DBLP:conf/bpm/TeinemaaDMF16}
Teinemaa, I., Dumas, M., Maggi, F.M., {Di Francescomarino}, C.: Predictive
business process monitoring with structured and unstructured data. In: {BPM}
2016. pp. 401--417 (2016)
\bibitem{Tillmann2003WRD778822778827}
Tillmann, C., Ney, H.: Word reordering and a dynamic programming beam search
algorithm for statistical machine translation. Comput. Linguist. 29(1),
97--133 (Mar 2003)
\bibitem{doi:10.1142/S0218126698000043}
VAN DER~AALST, W.M.P.: The application of petri nets to workflow management.
Journal of Circuits, Systems and Computers 08(01), 21--66 (1998),
\url{http://www.worldscientific.com/doi/abs/10.1142/S0218126698000043}
\bibitem{Verbeek2011}
Verbeek, H.M.W., Buijs, J.C.A.M., van Dongen, B.F., van~der Aalst, W.M.P.: XES,
XESame, and ProM 6, pp. 60--75. Springer Berlin Heidelberg, Berlin,
Heidelberg (2011), \url{http://dx.doi.org/10.1007/978-3-642-17722-4_5}
\bibitem{quteprints96732}
Verenich, I., Dumas, M., Rosa, M.L., Maggi, F.M., Chasovskyi, D., Rozumnyi, A.:
Tell me what{'}s ahead? predicting remaining activity sequences of business
process instances (June 2016), \url{http://eprints.qut.edu.au/96732/}
\bibitem{Westergaard2040296}
Westergaard, M.: Better algorithms for analyzing and enacting declarative
workflow languages using ltl. In: Proceedings of the 9th International
Conference on Business Process Management. pp. 83--98. BPM'11,
Springer-Verlag, Berlin, Heidelberg (2011),
\url{http://dl.acm.org/citation.cfm?id=2040283.2040296}
\end{thebibliography}