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Soft Subspace Topological Clustering over Evolving Data Stream., , , , and . WSOM+, volume 976 of Advances in Intelligent Systems and Computing, page 225-230. Springer, (2019)A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images., , , and . CEC, page 556-563. IEEE, (2021)Semantic Classification for Big Data Analysis., , , and . EDA, volume B-14 of RNTI, page 273-280. Éditions RNTI, (2018)Exploitation of ontological approaches in Big Data: A State of the Art., and . ICIST, page 45:1-45:6. ACM, (2020)Web Services Selection Based on Mixed Context and Quality of Service Ontology., , and . Computer and Information Science, 4 (3): 138-150 (2011)Meaning negotiation based on merged individual context ontology and part of semantic web ontology., and . Int. J. Inf. Commun. Technol., 11 (3): 352-368 (2017)Improved Multi-objective Data Stream Clustering with Time and Memory Optimization., , , and . CoRR, (2022)Soft Subspace Growing Neural Gas for Data Stream Clustering., , , , and . ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 569-580. Springer, (2019)Context of QoS in Web Service Selection: The Generalization of Web Services Selection Process.. Int. Arab J. e-Technol., 3 (4): 235-241 (2014)Web Services Selection Based on Context Ontology and Quality of Services., , and . Int. Arab J. e-Technol., 1 (3): 98-105 (2010)