Requirements Imprecision of Data Warehouse Design Fuzzy Ontology-Based Approach - Fuzzy Connector Case
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-21005-2_11
Reference10 articles.
1. Larbi, A., Malki, M., Boukhalfa, K.: Fuzzy ontology-based approach for the requirements query imprecision assessment in DW design process. NEAR negative Fuzzy operator. Int. J. Inf. Technol. Comput. Sci. 10(2), ISSN: 2074-9007(Print), ISSN: 2074-9015(Online) (2018). https://doi.org/10.5815/ijitcs.2018.02.03/IJITCS
2. Golfarelli, M., Rizzi, S.: From star schemas to big data: 20+ years of data warehouse research. In: Flesca, S., et al. (eds.) Studies in Big Data 31. Springer International Publishing AG (2018) https://doi.org/10.1007/978-3-319-61893-76
3. Larbi, A., Malki, M., Boukhalfa, K., Merzoug, A.: A survey of decisional requirements: imprecision study. In: JFSE 2017
4. Proceeding, ISSN 1613-0073, pp. 21-26 (2017)
5. Larbi, A., Malki, M.: Queries-based requirements imprecision study for data warehouse update: structural approach. In: 8th International Conference on Information Systems and Technologies Istanbul, Turkey, 16–18 March 2018, ACM ISBN 978-1-4503-6404-1 (2018). https://doi.org/10.1145/3200842.3200851
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