Abstract: The mining of heterogeneous distributed data is a key technology for insight data traceability and classification feature analysis. A heterogeneous distributed data mining method based on ...
Abstract: Optimizing Minimum Spanning Tree (MST) techniques improve large data graph processing. Developing improved methods to manage large-scale data set computational complexity is the goal. To ...
This project proposes the development and mentorship of a hybrid quantum-classical algorithmic framework to solve the Minimum Steiner Tree problem, a fundamental combinatorial optimization challenge ...
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