Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Cluster Analysis using k-means in school dropout.- Topic modeling based on OWA aggregation to improve the semantic focusing on relevant information extraction problems.- An Affiliated Approach to Data Validation: The US 2020 Governor’s County Election.-&nbsp;Acquisition, Processing and Visualization of Meteorological Data in Real-Time using Apache Flink.-&nbsp;Topological Data Analysis for the evolution of student grades before, during and after the COVID-19 pandemic.- Redescending M-Estimators analysis on the Intuitionistic Fuzzy clustering algorithm for skin lesion delimitation.- Big Data Platform as a Service for Anomaly Detection.- An overview of model-driven and data-driven forecasting methods for smart transportation.- Data augmentation techniques for facial image generation: a brief literature review.- A review on machine learning-aided multi-omics data integration techniques for healthcare.- Learning of Conversational Systems based on Linguistic Data Summarization applicationsin BIM environments.- Fuzzified case-based reasoning blockchain framework for predictive maintenance in Industry 4.0.- Machine learning for identifying atomic species from optical emission spectra generated by an atmospheric pressure non-thermal plasma.- Agent-based simulation: various scenarios.- Multi-Hop Ridesharing ∈ NPC.- A content-based group recommender system using feature weighting and virtual users aggregation.- Performance Evaluation of AquaFeL-PSO Informative Path Planner under Different Contamination Profiles.- Adapting Swarm Intelligence to a Fixed Wing Unmanned Combat Aerial Vehicle Platform.- Cellular Processing Algorithm for Time Dependent-Traveling Salesman Problem.- Portfolio Optimization using Reinforcement Learning and Hierarchical Risk Parity Approach.- Reducing recursion costs in last-mile delivery routes with failed deliveries.- Intelligent Decision-Making Dashboard for CNC Milling Machines in Industrial Equipment: A Comparative Analysis of MOORA and TOPSIS Methods<p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p>