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A data-aware explainable deep learning approach for next activity prediction.

, , , , and . Eng. Appl. Artif. Intell., (November 2023)

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A Framework for Measuring the Alignment between Business Processes and Software Systems., , and . FGIT-ASEA, volume 59 of Communications in Computer and Information Science, page 213-220. Springer, (2009)Mining candidate web services from legacy code., , and . WSE, page 37-40. IEEE Computer Society, (2008)Using Concept Lattices to Support Service Selection., , , , and . Int. J. Web Serv. Res., 3 (4): 32-51 (2006)Building a Virtual View of Heterogeneous Data Source Views., , , and . ICSOFT (1), page 266-275. SciTePress, (2010)Migrating Legacy Systems to the Web., , and . Encyclopedia of Information Science and Technology (IV), Idea Group, (2005)Technology-driven business evolution., , , and . J. Syst. Softw., 79 (3): 314-338 (2006)An Empirical Study to Predict Student Performance Using Information of the Virtual Learning Environment., , , , , and . HELMeTO, volume 1779 of Communications in Computer and Information Science, page 536-547. Springer, (2022)Using Machine Learning for early prediction of Heart Disease., , , , , and . EAIS, page 1-8. IEEE, (2022)UML Miner: A Tool for Mining UML Diagrams., , , , , and . MoDELS (Companion), page 30-34. IEEE, (2023)Machine Learning Applied to Speech Recordings for Parkinson's Disease Recognition., , , , , and . DeLTA, volume 1875 of Communications in Computer and Information Science, page 101-114. Springer, (2023)