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

  • Book
  • © 2023

Overview

Editors:
  1. Gilberto Rivera

    1. División Multidisciplinaria de Ciudad Universitaria, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico

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  2. Laura Cruz-Reyes

    1. Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Ciudad Madero, Mexico

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  3. Bernabé Dorronsoro

    1. School of Engineering, Universidad de Cádiz, Cadiz, Spain

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  4. Alejandro Rosete

    1. Universidad Tecnológica de La Habana “José Antonio Echeverría”, La Habana, Cuba

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  • Introduces the theory of computational intelligence approaches and their development for data analytics
  • Collects the latest technological innovations and models related to data analytics and computational intelligence
  • Includes representative applications and case studies

Part of the book series: Studies in Big Data (SBD, volume 132)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-ix
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  2. Descriptive and Diagnostic Analytics

    1. Front Matter

      Pages 1-1
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    2. Cluster Analysis Using k-Means in School Dropout

      • Luis Earving Lee Hernández, José Antonio Castán-Rocha, Salvador Ibarra-Martínez, Jésus David Terán-Villanueva, Mayra Guadalupe Treviño-Berrones, Julio Laria-Menchaca
      Pages 3-16

    3. Topic Modeling Based on OWA Aggregation to Improve the Semantic Focusing on Relevant Information Extraction Problems

      • Yamel Pérez-Guadarramas, Alfredo Simón-Cuevas, Francisco P. Romero, José A. Olivas
      Pages 17-42

    4. An Affiliated Approach to Data Validation: US 2020 Governor’s County Election

      • Manan Roy Choudhury
      Pages 43-64

    5. Acquisition, Processing and Visualization of Meteorological Data in Real-Time Using Apache Flink

      • Jonathan Adrian Herrera Castro, Abraham López Najera, Francisco López Orozco, Benito Alan Ponce Rodríguez
      Pages 65-96

    6. Topological Data Analysis for the Evolution of Student Grades Before, During and After the COVID-19 Pandemic

      • Mauricio Restrepo
      Pages 97-119

    7. Redescending M-Estimators Analysis on the Intuitionistic Fuzzy Clustering Algorithm for Skin Lesion Delimitation

      • Dante Mújica-Vargas, Blanca Carvajal-Gámez, Alicia Martínez-Rebollar, José de Jesús Rubio
      Pages 121-139

    8. Big Data Platform as a Service for Anomaly Detection

      • Adrián Hernández-Rivas, Victor Morales-Rocha, Oscar Ruiz-Hernández
      Pages 141-155

  3. Predictive Analytics

    1. Front Matter

      Pages 157-157
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    2. An Overview of Model-Driven and Data-Driven Forecasting Methods for Smart Transportation

      • Sonia Mrad, Rafaa Mraihi
      Pages 159-183

    3. Data Augmentation Techniques for Facial Image Generation: A Brief Literature Review

      • Blanca Elena Cazares, Rogelio Florencia, Vicente García, J. Patricia Sánchez-Solís
      Pages 185-209

    4. A Review on Machine Learning Aided Multi-omics Data Integration Techniques for Healthcare

      • Hina Bansal, Hiya Luthra, Shree R. Raghuram
      Pages 211-239

    5. Learning of Conversational Systems Based on Linguistic Data Summarization Applications in BIM Environments

      • Yuniesky Orlando Vasconcelo Mir, Iliana Pérez Pupo, Pedro Y. Piñero Pérez, Luis Alvarado Acuña, Aimee Graffo Pozo
      Pages 241-267

    6. Fuzzified Case-Based Reasoning Blockchain Framework for Predictive Maintenance in Industry 4.0

      • Kayode Abiodun Oladapo, Folasade Adedeji, Uchenna Jeremiah Nzenwata, Bao Pham Quoc, Akinbiyi Dada
      Pages 269-297

    7. Machine Learning for Identifying Atomic Species from Optical Emission Spectra Generated by an Atmospheric Pressure Non-thermal Plasma

      • Octavio Rosales-Martínez, Allan A. Flores-Fuentes, Antonio Mercado-Cabrera, Rosendo Peña-Eguiluz, Everardo Efrén Granda-Gutiérrez, Juan Fernando García-Mejía
      Pages 299-340

    8. Agent-Based Simulation: Several Scenarios

      • Mailyn Moreno-Espino, Ariadna Claudia Moreno-Román, Ariel López-González, Robert Ruben Benitez-Bosque, Cynthia Porras, Yahima Hadfeg-Fernández
      Pages 341-369

  4. Prescriptive Analytics

    1. Front Matter

      Pages 371-371
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    2. Multihop Ridesharing \(\in \) NPC

      • Javier Alejandro Romero-Guzmán, Jesús David Terán-Villanueva, Mirna Patricia Ponce-Flores, Aurelio Alejandro Santiago-Pineda
      Pages 373-381

    3. A Content-Based Group Recommender System Using Feature Weighting and Virtual Users Aggregation

      • Yilena Pérez-Almaguer, Manuel J. Barranco, Yailé Caballero Mota, Raciel Yera
      Pages 383-403
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Keywords

About this book

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 methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling.

With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields.

Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.


Editors and Affiliations

  • División Multidisciplinaria de Ciudad Universitaria, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico

    Gilberto Rivera

  • Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Ciudad Madero, Mexico

    Laura Cruz-Reyes

  • School of Engineering, Universidad de Cádiz, Cadiz, Spain

    Bernabé Dorronsoro

  • Universidad Tecnológica de La Habana “José Antonio Echeverría”, La Habana, Cuba

    Alejandro Rosete

Bibliographic Information

  • Book Title: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

  • Editors: Gilberto Rivera, Laura Cruz-Reyes, Bernabé Dorronsoro, Alejandro Rosete

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-031-38325-0

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-38324-3Published: 14 September 2023

  • Softcover ISBN: 978-3-031-38327-4Due: 14 October 2023

  • eBook ISBN: 978-3-031-38325-0Published: 12 September 2023

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: IX, 605

  • Number of Illustrations: 52 b/w illustrations, 244 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Big Data

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