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Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems - Research Book

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems - Research Book

Hot Research Book in Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

Author(s) Name:  George A. TsihrintzisMaria VirvouEvangelos SakkopoulosLakhmi C. Jain

About the Book:

   This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies.
   These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings.
   This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Table of Contents

  • Applications of Learning and Analytics in Intelligent Systems
  • A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure
  • Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research
  • Machine Learning Approaches for Pap-Smear Diagnosis: An Overview
  • Multi-kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems
  • Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods
  • Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning
  • Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
  • A Taxonomy and Review of the Network Data Envelopment Analysis Literature
  • Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams
  • Analytics and Evolving Landscape of Machine Learning for Emergency Response
  • Social Media Analytics, Types and Methodology
  • Machine Learning Methods for Opinion Mining In text: The Past and the Future

    • ISBN:  9783030156282

    Publisher:  Springer Publisher

    Year of Publication:  2019

    Book Link:  Home Page Url