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E-raamat: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

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  • Formaat: PDF+DRM
  • Sari: Studies in Big Data 132
  • Ilmumisaeg: 12-Sep-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031383250
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  • Formaat: PDF+DRM
  • Sari: Studies in Big Data 132
  • Ilmumisaeg: 12-Sep-2023
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783031383250
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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.
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
Governors 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 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