Machine Learning Paradigms

Chapter 1 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