Essays about: "Graph clustering"
Showing result 11 - 15 of 45 essays containing the words Graph clustering.
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11. Hierarchical Portfolio Allocation with Community Detection
University essay from KTH/Matematik (Avd.)Abstract : Traditionally, practitioners use modern portfolio theory to invest optimally. Its appeal lies in its mathematical simplicity and elegance. However, despite its beauty, the theory it is plagued with many problems, which are in combination called the Markowitz curse. READ MORE
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12. Synthetic Graph Generation at Scale : A novel framework for generating large graphs using clustering, generative models and node embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to data augmentation of rare diseases in the brain, the ability to generate synthetic data has multiple applications in various domains. READ MORE
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13. Hierarchical Clustering To Improve Portfolio Tail Risk Characteristics
University essay from Lunds universitet/Matematisk statistikAbstract : Many agree that estimating portfolio risks has better estimation possibilities, than estimations on returns. Therefore investors attempts to construct better, more efficient riskmanaged portfolios by diversifying portfolios through factors rather than traditional asset classes. READ MORE
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14. Using machine learning to visualize and analyze attack graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, the security of many corporate networks have been compromised by hackers who managed to obtain important information by leveraging the vulnerabilities of those networks. Such attacks can have a strong economic impact and affect the image of the entity whose network has been attacked. READ MORE
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15. Efficient graph embeddings with community detection
University essay from Umeå universitet/Institutionen för fysikAbstract : Networks are useful when modeling interactions in real-world systems based on relational data. Since networks often contain thousands or millions of nodes and links, analyzing and exploring them requires powerful visualizations. READ MORE