Machine Learning Paradigms Advances in Data Analytics /

This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic chang...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tsihrintzis, George A. (Editor), Sotiropoulos, Dionisios N. (Editor), Jain, Lakhmi C. (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Intelligent Systems Reference Library, 149
Subjects:
Computational intelligence.
Artificial intelligence.
Quantitative research.
Pattern recognition systems.
Data mining.
Computational Intelligence.
Artificial Intelligence.
Data Analysis and Big Data.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Online Access:Full-text access
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Table of Contents:
  • Data Analytics in the Medical, Biological and Signal Sciences
  • Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics
  • Classification Methods in Image Analysis with a Special Focus on Medical Analytics
  • Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field
  • Machine Learning Methods for the Protein Fold Recognition Problem. .

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