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Found 5 papers, 1 papers with code
Life still goes on: Analysing Australian WW1 Diaries through Distant Reading
This gives quantitative researchers an opportunity to use distant reading techniques, as opposed to traditional close reading, in order to analyse larger quantities of historic data.
High Performance Out-of-sample Embedding Techniques for Multidimensional Scaling
We propose an out-of-sample embedding (OSE) solution to extend the MDS algorithm for large-scale data utilising the embedding of only a subset of the given data.
Em-K Indexing for Approximate Query Matching in Large-scale ER
In this paper, we investigate the query matching problem in ER to propose an indexing method suitable for approximate and efficient query matching.
Simulating Name-like Vectors for Testing Large-scale Entity Resolution
In our work, we are interested in developing ER methods to handle big data.
Verifying and Monitoring IoTs Network Behavior using MUD Profiles
Our first contribution is to develop a tool that takes the traffic trace of an arbitrary IoT device as input and automatically generates the MUD profile for it.
Networking and Internet Architecture
