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Real-time big data processing for anomaly detection: A Survey., , , , , and . Int. J. Inf. Manag., (2019)Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges., , , , , , and . IEEE Access, (2017)A survey of big data management: Taxonomy and state-of-the-art., , , , , , and . J. Netw. Comput. Appl., (2016)Support system for novice researchers (ssnr): usability evaluation of the first use., , , , and . Int. Arab J. Inf. Technol., 9 (4): 361-367 (2012)Clustering-based real-time anomaly detection - A breakthrough in big data technologies., , , , , , and . Trans. Emerg. Telecommun. Technol., (2022)Social tagging in a scholarly digital library environment: users' perspectives., , and . Inf. Res., (2013)Integration of Healthcare Information.. iiWAS, volume 196 of books@ocg.at, page 789-794. Austrian Computer Society, (2005)Fog learning for cultivating critical thinking in information seeking process., , and . Concurr. Comput. Pract. Exp., (2019)A Quantitative Study for Developing a Computerized System for Bone Age Assessment in University of Malaya Medical Center., , , , and . DaEng, volume 285 of Lecture Notes in Electrical Engineering, page 659-666. Springer, (2013)Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges., , , , , and . Comput. Math. Methods Medicine, (2013)