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A composite machine-learning-based framework for supporting low-level event logs to high-level business process model activities mappings enhanced by flexible BPMN model translation.

, , , , и . Soft Comput., 24 (10): 7557-7578 (2020)

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Alfredo Cervera

Alfredo Ibáñez

Alfredo Märker

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Alfredo Bergés

 

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A Process-Driven Methodology for Continuous Information Systems Modeling., , и . ICEIS (3-2), стр. 82-88. (2008)978-989-8111-38-8.Modeling and Managing Uncertainty in Concurrent Database Transactions., , и . KES, том 243 из Frontiers in Artificial Intelligence and Applications, стр. 1263-1272. IOS Press, (2012)Knowledge-Driven Digital Forensics., и . SEBD, стр. 36-47. Curran Associates, Inc., (2015)Searching semantic data warehouses: models, issues, architectures., и . SSW@VLDB, стр. 6. ACM, (2012)Big data compression paradigms for supporting efficient and scalable data-intensive IoT frameworks.. EDB, стр. 67-71. ACM, (2016)Aggregation and multidimensional analysis of big data for large-scale scientific applications: models, issues, analytics, and beyond.. SSDBM, стр. 23:1-23:6. ACM, (2015)PSBD 2014: Overview of the 1st International Workshop on Privacy and Security of Big Data.. CIKM, стр. 2100-2101. ACM, (2014)The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution., , и . IDEAS, стр. 148-156. ACM, (2018)An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments., , , и . IDEAL (2), том 11872 из Lecture Notes in Computer Science, стр. 225-237. Springer, (2019)An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models., , и . SMC, стр. 2953-2959. IEEE, (2018)