Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection
portes grátis
Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection
Alhajj, Sleiman; Sailunaz, Kashfia; Day, Min-Yuh; Kaya, Mehmet
Springer International Publishing AG
01/2025
240
Dura
9783031752032
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Sensitivity to Noise in Features in Graph Neural Network Learning.- Interpretable Ensemble Model For Associative Classification.- Scalable Algorithms to Measure User Influence in Social Networks Detecting Comorbidity Using Machine Learning.- Detecting Comorbidity Using Machine Learning.- Evaluating the Effectiveness of Mitigative and Preventative Actions on Viral Spread In A Small Community Using An Agent-based Stochastic Simulation.- Evaluating the Effectiveness of Mitigative and Preventative Actions on Viral Spread In A Small Community Using An Agent-based Stochastic Simulation.- Predicting Donor Behavior using the Dynamics of Event Co-Attendance Networks Analyzing the impact of COVID-19 on Portuguese Social Media.- Analyzing the impact of COVID-19 on Portuguese Social Media.- SegSkin: An Effective Application for Skin Lesion Segmentation using Attention-Based VGG-UNet.- Segmentation and Classification of Dermoscopic Skin Images using U-Net and Handcrafted Features.- Global Prevalence Patterns of Anti-Asian Prejudice on Twitter During the COVID-19 Pandemic.- Enhancing fraud detection in SWIFT financial systems through Ontology-Based knowledge integration and Graph-Driven analysis.- A study of firm-switching of inventors in Big Tech using public patent data.- Measuring the Echo-chamber Phenomenon Through Exposure Bias.
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Fake News;Machine Learning;Deep Learning;Fraud Detection;Trending Topics;Behavior Analysis;Social Media;Network Analysis in Healthcare
Sensitivity to Noise in Features in Graph Neural Network Learning.- Interpretable Ensemble Model For Associative Classification.- Scalable Algorithms to Measure User Influence in Social Networks Detecting Comorbidity Using Machine Learning.- Detecting Comorbidity Using Machine Learning.- Evaluating the Effectiveness of Mitigative and Preventative Actions on Viral Spread In A Small Community Using An Agent-based Stochastic Simulation.- Evaluating the Effectiveness of Mitigative and Preventative Actions on Viral Spread In A Small Community Using An Agent-based Stochastic Simulation.- Predicting Donor Behavior using the Dynamics of Event Co-Attendance Networks Analyzing the impact of COVID-19 on Portuguese Social Media.- Analyzing the impact of COVID-19 on Portuguese Social Media.- SegSkin: An Effective Application for Skin Lesion Segmentation using Attention-Based VGG-UNet.- Segmentation and Classification of Dermoscopic Skin Images using U-Net and Handcrafted Features.- Global Prevalence Patterns of Anti-Asian Prejudice on Twitter During the COVID-19 Pandemic.- Enhancing fraud detection in SWIFT financial systems through Ontology-Based knowledge integration and Graph-Driven analysis.- A study of firm-switching of inventors in Big Tech using public patent data.- Measuring the Echo-chamber Phenomenon Through Exposure Bias.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
