Machine learning paradigms : applications of learning and analytics in intelligent systems / George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain, editors.
Tsihrintzis, George A., editor.; Virvou, Maria, editor.; Sakkopoulos, Evangelos, editor.; Jain, L. C., editor.
2019
Q325.5
Available Online

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Title Machine learning paradigms : applications of learning and analytics in intelligent systems / George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain, editors.
ISBN 9783030156282 (electronic book)
3030156281 (electronic book)
9783030156275
Published Cham : Springer, 2019.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-030-15
Call Number Q325.5
Dewey Decimal Classification 006.31
Summary 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.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (viewed July 10, 2019)
Added Author Tsihrintzis, George A., editor.
Virvou, Maria, editor.
Sakkopoulos, Evangelos, editor.
Jain, L. C., editor.
Series Learning and analytics in intelligent systems ; 1.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
Chapter 2: A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure
Chapter 3: Differential gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research
Chapter 4: Machine Learning Approaches for Pap-Smear Diagnosis: An Overview
Chapter 5: Multi-Kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems
Chapter 6: Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods
Chapter 7: Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning
Chapter 8: Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques
Chapter 9: A Taxonomy and Review of the Network Data Envelopment Analysis Literature
Chapter 10: Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams
Chapter 11: Analytics and Evolving Landscape of Machine Learning for Emergency Response
Chapter 12: Social Media Analytics, Types and Methodology
Chapter 13: Machine Learning Methods for Opinion Mining in Text: The Past and the Future
Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment
Chapter 15: Video Analytics for Visual Surveillance and Applications: An Overview and Survey
Chapter 16: Machine Learning in Alternate Testing of Integrated Circuits.

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