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DBIS

Kategorie: ‘Theses’

Applying a Curiosity-Module to training on rare events

May 25th, 2022 | by

Algorithmic Approaches to Overlapping Community Detection – Label Propagation Algorithm with Neighbor Node Influence

May 18th, 2022 | by

A Practical Look at Membership Inference Attacks and Differential Privacy Protection on Data with Re-occurring Information

May 12th, 2022 | by

Decentralized ID and Access Management for Personal Health Train

May 12th, 2022 | by

Bridging the gap between design and deployment of statistical analyses in Distributed Analytics

May 11th, 2022 | by

Further development of a cyber-physical co-simulation environment to investigate the architecture and control of smart grids

April 25th, 2022 | by

Development of a Data Ecosystem Model for the Context of Procurement

April 20th, 2022 | by

Algorithmic Approaches to Overlapping Community Detection – Local Optimization Algorithm based on Cliques

April 13th, 2022 | by

Algorithmic Approaches to Overlapping Community Detection – Clustering Graphs into Subgraphs

April 11th, 2022 | by

Overlapping Community Detection for Botnet analysis on Twitter

April 8th, 2022 | by

The study of (social) structures in real-world networks is known as (social) network analysis. Nodes and linkages make up networks. Communities are subnetworks in which nodes have more connections to nodes within the subnetwork than to nodes outside the subnetwork. The difficulty of detecting nodes in networks that belong to more than one sub-network is known as overlapping community detection. The goal of this work is to extend our existing bot detection framework to include community detection functionality.