Titlebook: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications; Gilberto Rivera,Laura Cruz-Reyes,Alejandro Roset

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Mady Mohamed,Mohamed Fekry,Asmaa Ibrahimased on the criteria applicability and adequacy of the conversational system responses. It is shown that the application of linguistic data summarization techniques for learning conversational systems improves the behavior of these systems significantly.

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https://doi.org/10.1007/978-3-031-15460-7duction loss. This has led to the motive for developing a fuzzified case-based reasoning blockchain framework for predictive maintenance in Industry 4.0. The fuzzified case-based reasoning blockchain (FCBRB) framework is a convincing model that permits the use of fuzzy-based rules to ease the uncert

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Hatoon S. Alghamdi,Asmaa Ibrahim dataset, they were evaluated using parametric statistics with analysis of variance (ANOVA) and non-parametric statistics with Friedman’s tests. Subsequently, the critical distance was obtained by Nemenyi parametric profile, showing the best-classified groups with prediction accuracy of the species

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Cluster Analysis Using ,-Means in School Dropoutconstantly growing problem of student dropout. This paper presents a comparison of selected prediction algorithms to detect students at risk of becoming inactive at the end of their first semester. Our proposal uses data from previous academic years to produce a dataset with the reports from the sch

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Acquisition, Processing and Visualization of Meteorological Data in Real-Time Using Apache Flink-making and business opportunities for companies. Data processing is not a trivial task since large amounts of data are generated in different formats, which makes it difficult to process, store and visualize them. This chapter presents an architecture for real-time data stream processing on Apache

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Topological Data Analysis for the Evolution of Student Grades Before, During and After the COVID-19 ous courses within the mathematics department of a university before, during, and after the COVID-19 pandemic. The study utilized 24 datasets that included information on grades, subjects, academic programs, and basic details about the teachers, such as their academic background and the type of cont

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Big Data Platform as a Service for Anomaly Detectionn a package-based style. These platforms include Kubernetes, OpenShift, Distributed Cloud Operating System DC/OS, Cloud Foundry, and Docker Swarm. Using a PaaSCO facilitates and accelerates the construction of platforms for developing applications by unifying components and software frameworks to bu