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

In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis metho...

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Bibliographic Details
Other Authors: Rivera, Gilberto (Editor), Cruz-Reyes, Laura (Editor), Dorronsoro, Bernabé (Editor), Rosete, Alejandro (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Series:Studies in Big Data
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • Acquisition, Processing and Visualization of Meteorological Data in Real-Time using Apache Flink
  • 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
  • Intelligent Decision-Making Dashboard for CNC Milling Machines in Industrial Equipment: A Comparative Analysis of MOORA and TOPSIS Methods
  • 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