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Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances., , , , , и . CoRR, (2020)Learning context to adapt business processes., , , и . CSCWD, стр. 229-234. IEEE, (2013)Evaluating a Petroleum Exploration Opportunity trough Data Mining., , и . ICEIS (1), стр. 334-337. SciTePress, (2012)Link prediction using a probabilistic description logic., , и . J. Braz. Comp. Soc., 19 (4): 397-409 (2013)Method for improvement of transparency: use of text mining techniques for reclassification of governmental expenditures records in Brazil., , , и . Int. J. Bus. Intell. Data Min., 18 (2): 155-196 (2021)Prediction of Business Process Instances with Dynamic Bayesian Networks., , , , , и . SIMPDA, том 2270 из CEUR Workshop Proceedings, стр. 50-54. CEUR-WS.org, (2018)XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP., , , , , и . Business Process Management Workshops, том 397 из Lecture Notes in Business Information Processing, стр. 129-141. Springer, (2020)Governance of Platform Ecosystems - Designing Understandable Processes for Digital High Street Retail., , , и . Wirtschaftsinformatik (Zentrale Tracks), стр. 925-930. GITO Verlag, (2020)An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction., , и . URSW, том 900 из CEUR Workshop Proceedings, стр. 63-74. CEUR-WS.org, (2012)A proposal for optimizing internetwork matching of ontologies., , и . OM@ISWC, том 2288 из CEUR Workshop Proceedings, стр. 71-75. CEUR-WS.org, (2018)