Essays about: "Data provenance"
Showing result 1 - 5 of 22 essays containing the words Data provenance.
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1. Data streaming provenance in advanced metering infrastructures
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the electric grid market, which has started modernizing its aging grids into smart grids where Advanced Metering Infrastructures (AMIs) play a vital role. READ MORE
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2. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. READ MORE
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3. Risk Assessment of Digital Assets – Insurance Applications in Cryptocurrencies and NFTs
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The aim of the project is to develop a framework for an insurance policy for digital assets. The project comprised several stages, starting with the identification of risks associated with these assets. Policyholders were then categorized into two groups based on a predefined rating factor. READ MORE
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4. Manufacturing Knowledge Management Using a Virtual Factory-Based Ontology Implemented in a Graph Database
University essay from Högskolan i Skövde/Institutionen för ingenjörsvetenskapAbstract : Ontology-based technologies like Semantic Web and Knowledge Graphs are promising for knowledge management in manufacturing industries. In the literature there are abundant of publications related to using ontologies to represent and capture knowledge in manufacturing. READ MORE
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5. Increasing Reproducibility Through Provenance, Transparency and Reusability in a Cloud-Native Application for Collaborative Machine Learning
University essay from Uppsala universitet/Avdelningen för datorteknikAbstract : The purpose of this thesis paper was to develop new features in the cloud-native and open-source machine learning platform STACKn, aiming to strengthen the platform's support for conducting reproducible machine learning experiments through provenance, transparency and reusability. Adhering to the definition of reproducibility as the ability of independent researchers to exactly duplicate scientific results with the same material as in the original experiment, two concepts were explored as alternatives for this specific goal: 1) Increased support for standardized textual documentation of machine learning models and their corresponding datasets; and 2) Increased support for provenance to track the lineage of machine learning models by making code, data and metadata readily available and stored for future reference. READ MORE