Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications / edited by Gilberto Rivera, Laura Cruz-Reyes, Bernabé Dorronsoro, Alejandro Rosete.

Format:

Book

Author/Creator:

Rivera, Gilberto.

Contributor:

Cruz-Reyes, Laura.

Dorronsoro, Bernabé.

Rosete, Alejandro.

Series:

Studies in Big Data, 2197-6511 ; 132

Language:

English

Subjects (All):

Engineering--Data processing.

Engineering.

Computational intelligence.

Big data.

Data Engineering.

Computational Intelligence.

Big Data.

Local Subjects:

Data Engineering.

Computational Intelligence.

Big Data.

Physical Description:

1 online resource (597 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

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.

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

Learning of Conversational Systems based on Linguistic Data Summarization applications in 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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-38325-7

OCLC:

1399169464