Téléchargez le livre : Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection

Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection

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Éditeur :

Springer


Collection :

Lecture Notes in Social Networks

Paru le : 2024-12-20

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Description

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.
Pages
336 pages
Collection
Lecture Notes in Social Networks
Parution
2024-12-20
Marque
Springer
EAN papier
9783031752032
EAN PDF
9783031752049
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
55173 Ko
Prix
147,69 €
EAN EPUB
9783031752049
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
55880 Ko
Prix
147,69 €

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