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View all- Sultana THossain MMorshed MAfridi TLee Y(2024)Inductive autoencoder for efficiently compressing RDF graphsInformation Sciences: an International Journal10.1016/j.ins.2024.120210662:COnline publication date: 1-Mar-2024
Association rule mining problems can be considered as a multi-objective problem rather than as a single objective one. Measures like support count, comprehensibility and interestingness, used for evaluating a rule can be thought of as different ...
In recent years, the rise of large Knowledge Graphs (KGs), which capture knowledge in machine-driven formats, has arisen broadly. KGs are the convergence of data and knowledge, and may be incomplete due to the Open World Assumption (OWA). ...
Temporal data mining is still one of important research topic since there are application areas that need knowledge from temporal data such as sequential patterns, similar time sequences, cyclic and temporal association rules, and so on. Although there ...
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