Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

✍ Scribed by George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain

• Publisher: Springer International Publishing
• Year: 2019
• Tongue: English
• Leaves: 552
• Series: Learning and Analytics in Intelligent Systems 1
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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

Front Matter ....Pages i-xx
Applications of Learning and Analytics in Intelligent Systems (George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain)....Pages 1-6
Front Matter ....Pages 7-7
A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure (Anna Karen Garate Escamilla, Amir Hajjam El Hassani, Emmanuel Andres)....Pages 9-26
Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research (Jose Liñares Blanco, Marcos Gestal, Julián Dorado, Carlos Fernandez-Lozano)....Pages 27-65
Machine Learning Approaches for Pap-Smear Diagnosis: An Overview (E. Karampotsis, G. Dounias, J. Jantzen)....Pages 67-127
Front Matter ....Pages 129-129
Multi-kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems (Miltiadis Alamaniotis)....Pages 131-148
Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods (John A. Paravantis, Athanasios Ballis, Nikoletta Kontoulis, Vasilios Dourmas)....Pages 149-203
Front Matter ....Pages 205-205
Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning (Apostolos Meliones, George Makrides)....Pages 207-228
Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques (Athanasios T. Ballis, John A. Paravantis)....Pages 229-253
A Taxonomy and Review of the Network Data Envelopment Analysis Literature (Gregory Koronakos)....Pages 255-311
Front Matter ....Pages 313-313
Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams (João Rico, José Barateiro, Juan Mata, António Antunes, Elsa Cardoso)....Pages 315-350
Analytics and Evolving Landscape of Machine Learning for Emergency Response (Minsung Hong, Rajendra Akerkar)....Pages 351-397
Front Matter ....Pages 399-399
Social Media Analytics, Types and Methodology (Paraskevas Koukaras, Christos Tjortjis)....Pages 401-427
Machine Learning Methods for Opinion Mining In text: The Past and the Future (Athanasia Kolovou)....Pages 429-457
Front Matter ....Pages 459-459
Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment (Jeffrey W. Tweedale)....Pages 461-474
Video Analytics for Visual Surveillance and Applications: An Overview and Survey (Iyiola E. Olatunji, Chun-Hung Cheng)....Pages 475-515
Front Matter ....Pages 517-517
Machine Learning in Alternate Testing of Integrated Circuits (John Liaperdos, Angela Arapoyanni, Yiorgos Tsiatouhas)....Pages 519-548

✦ Subjects

Engineering; Computational Intelligence