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Mortadelo: Automatic generation of NoSQL stores from platform-independent data models.

, , , , and . Future Gener. Comput. Syst., (2020)

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Improving expected tail loss estimates with neural networks., , and . Intell. Syst. Account. Finance Manag., 13 (2): 81-94 (2005)Onto-CARMEN: Ontology-driven approach for Cyber-Physical System Security Requirements meta-modelling and reasoning., , , , and . Internet Things, (December 2023)An MDA approach for developing secure OLAP applications: Metamodels and transformations., , , and . Comput. Sci. Inf. Syst., 12 (2): 541-565 (2015)Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis., , , , and . Neural Comput., 28 (2): 354-381 (2016)Hacia la Implementación Automática de Almacenes de Datos Seguros en Herramientas OLAP., , , , and . JISBD, page 205-216. (2008)Obtaining Secure Code in SQL Server Analysis Services by using MDA and QVT., , , , and . WOSIS, page 38-48. INSTICC Press, (2008)Applying an MDA-Based Approach to Consider Security Rules in the Development of Secure DWs., , , , and . ARES, page 528-533. IEEE Computer Society, (2009)An ontology-based secure design framework for graph-based databases., , , , , and . Comput. Stand. Interfaces, (March 2024)How the Conceptual Modelling Improves the Security on Document Databases., , , , , and . ER, volume 11157 of Lecture Notes in Computer Science, page 497-504. Springer, (2018)Mortadelo: A Model-Driven Framework for NoSQL Database Design., , , , and . MEDI, volume 11163 of Lecture Notes in Computer Science, page 41-57. Springer, (2018)