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Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science.

, , , and . Inf. Syst. Frontiers, 23 (1): 1-7 (2021)

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New Trends in Databases and Information Systems, , , , , , , , , and . Springer International Publishing, (2019)Predicting access to materialized methods by means of hidden Markov model., , , and . Control. Cybern., 38 (1): 127-152 (2009)Transaction Concepts for Supporting Changes in Data Warehouses., , , and . ICEIS (1), page 290-297. (2004)LambdAgrIoT: a new architecture for agricultural autonomous robots' scheduling: from design to experiments., , , , , , , , , and 8 other author(s). Clust. Comput., 26 (5): 2993-3015 (October 2023)Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science., , , and . Inf. Syst. Frontiers, 23 (1): 1-7 (2021)A Temporal Multidimensional Model and OLAP Operators., , , and . Int. J. Data Warehous. Min., 16 (4): 112-143 (2020)On Modeling Data for IoT Agroecology Applications by means of a UML Profile., , , , , , , , , and 1 other author(s). MEDES, page 120-128. ACM, (2021)Big Data Analytics and Knowledge Discovery., and . Data Knowl. Eng., (July 2023)DOLAP data warehouse research over two decades: Trends and challenges., , and . Inf. Syst., (2019)On Customer Data Deduplication: Lessons Learned from a R&D Project in the Financial Sector., , , , , and . EDBT/ICDT Workshops, volume 3135 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)