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References
Adriansyah A (2014) Aligning observed and modeled behavior. PhD thesis, Eindhoven University of Technology. https://doi.org/10.6100/IR770080
Batoulis K, Meyer A, Bazhenova E, Decker G, Weske M (2015) Extracting decision logic from process models. In: CAiSE 2015. LNCS, vol 9097. Springer, pp 349–366. https://doi.org/10.1007/978-3-319-19069-3_22
Bazhenova E, Weske M (2016) Deriving decision models from process models by enhanced decision mining. In: BPM 2015 workshops. Springer, pp 444–457. https://doi.org/10.1007/978-3-319-42887-1_36
Bazhenova E, Bülow S, Weske M (2016) Discovering decision models from event logs. In: BIS 2016. LNBIP, vol 255. Springer, pp 237–251. https://doi.org/10.1007/978-3-319-39426-8_19
Bazhenova E, Haarmann S, Ihde S, Solti A, Weske M (2017) Discovery of fuzzy DMN decision models from event logs. In: CAiSE 2017. LNCS, vol 10253. Springer, pp 629–647. https://doi.org/10.1007/978-3-319-59536-8_39
Bose JC, Mans RS, van der Aalst WMP (2013) Wanna improve process mining results? In: CIDM 2013. IEEE, pp 127–134. https://doi.org/10.1109/cidm.2013.6597227
Calvanese D, Dumas M, Ülari Laurson, Maggi FM, Montali M, Teinemaa I (2016) Semantics and analysis of DMN decision tables. In: BPM 2016. LNCS, vol 9850. Springer, pp 217–233. https://doi.org/10.1007/978-3-319-45348-4_13
de Leoni M, van der Aalst WMP (2013) Data-aware process mining: discovering decisions in processes using alignments. In: SAC 2013. ACM, pp 1454–1461. https://doi.org/10.1145/2480362.2480633
De Smedt J, vanden Broucke SKLM, Obregon J, Kim A, Jung JY, Vanthienen J (2017a) Decision mining in a broader context: an overview of the current landscape and future directions. In: BPM 2016 workshops. LNBIP, vol 281. Springer, pp 197–207. https://doi.org/10.1007/978-3-319-58457-7_15
De Smedt J, Hasic F, vanden Broucke S, Vanthienen J (2017b) Towards a holistic discovery of decisions in process-aware information systems. In: BPM 2017. LNCS, vol 10445. Springer. https://doi.org/10.1007/978-3-319-65000-5_11
DMN (2016) Decision Model and Notation (DMN) v1.1. http://www.omg.org/spec/DMN/1.1/
Kalenkova AA, de Leoni M, van der Aalst WMP (2014) Discovering, analyzing and enhancing BPMN models using prom. In: BPM 2014 Demos, CEUR-WS.org, CEUR workshop proceedings, vol 1295, p 36
Maggi FM, Dumas M, GarcÃa-Bañuelos L, Montali M (2013) Discovering data-aware declarative process models from event logs. In: BPM 2013. LNCS, vol 8094. Springer, pp 81–96. https://doi.org/10.1007/978-3-642-40176-3_8
Mannhardt F (2018) Multi-perspective process mining. PhD thesis, Eindhoven University of Technology
Mannhardt F, de Leoni M, Reijers HA (2015) The multi-perspective process explorer. In: BPM 2015 Demos, CEUR-WS.org, CEUR workshop proceedings, vol 1418, pp 130–134
Mannhardt F, de Leoni M, Reijers HA, van der Aalst WMP (2016) Decision mining revisited – discovering overlapping rules. In: CAiSE 2016. LNCS, vol 9694. Springer, pp 377–392. https://doi.org/10.1007/978-3-319-39696-5_23
Mannhardt F, de Leoni M, Reijers HA, van der Aalst WMP (2017) Data-driven process discovery – revealing conditional infrequent behavior from event logs. In: CAiSE 2017. LNCS, vol 10253, pp 545–560. https://doi.org/10.1007/978-3-319-59536-8_34
Rhodes A et al (2017) Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016. Intensive Care Med 43(3):304–377. https://doi.org/10.1007/s00134-017-4683-6
Rosca D, Wild C (2002) Towards a flexible deployment of business rules. Expert Syst Appl 23(4):385–394. https://doi.org/10.1016/s0957-4174(02)00074-x
Rozinat A (2010) Process mining: conformance and extension. PhD thesis, Eindhoven University of Technology, Eindhoven
Rozinat A, van der Aalst WMP (2006) Decision mining in ProM. In: BPM 2006. LNCS, vol 4102. Springer, pp 420–425. https://doi.org/10.1007/11841760_33
Schönig S, Di Ciccio C, Maggi FM, Mendling J (2016) Discovery of multi-perspective declarative process models. In: ICSOC 2016. LNCS, vol 9936. Springer, pp 87–103. https://doi.org/10.1007/978-3-319-46295-0_6
van der Aalst WMP (2016) Process mining – data science in action, 2nd edn. Springer. https://doi.org/10.1007/978-3-662-49851-4
van Dongen BF, de Medeiros AKA, Verbeek HMW, Weijters AJMM, van der Aalst WMP (2005) The prom framework: a new era in process mining tool support. In: ICATPN 2005. LNCS, vol 3536. Springer, pp 444–454
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Leoni, M.d., Mannhardt, F. (2019). Decision Discovery in Business Processes. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_96
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