Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection | ISBN 9783031752049

Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection

herausgegeben von Mehmet Kaya, Sleiman Alhajj, Kashfia Sailunaz und Min-Yuh Day
Mitwirkende
Herausgegeben vonMehmet Kaya
Herausgegeben vonSleiman Alhajj
Herausgegeben vonKashfia Sailunaz
Herausgegeben vonMin-Yuh Day
Buchcover Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection  | EAN 9783031752049 | ISBN 3-031-75204-X | ISBN 978-3-031-75204-9

Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection

herausgegeben von Mehmet Kaya, Sleiman Alhajj, Kashfia Sailunaz und Min-Yuh Day
Mitwirkende
Herausgegeben vonMehmet Kaya
Herausgegeben vonSleiman Alhajj
Herausgegeben vonKashfia Sailunaz
Herausgegeben vonMin-Yuh Day

This book is an excellent source of knowledge for readers interested in the latest developments in social network analysis and mining, particularly with applications in healthcare and anomaly detection. It covers topics such as sensitivity to noise in features, enhancing fraud detection in financial systems, measuring the echo-chamber phenomenon, detecting comorbidity, and evaluating the effectiveness of mitigative and preventative actions on viral spread in small communities using agent-based stochastic simulations. Additionally, it discusses predicting behavior, measuring and identifying influence, analyzing the impact of COVID-19 on various social aspects, and using UNet for handling various skin conditions.

This book helps readers develop their own perspectives on adapting social network concepts to various applications. It also demonstrates how to use various machine learning techniques for tackling challenges in social network analysis and mining.