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Extended High Utility Pattern Mining: An Answer Set Programming Based Framework and Applications
Rule-based languages like Answer Set Programming (ASP) seem well suited for specifying user-provided criteria to assess pattern utility in a form of constraints; moreover, declarativity of ASP allows for a very easy switch between several criteria in order to analyze the dataset from different points of view.
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders
The framework relies on a combined use of ML and ASP, and is general enough to be applied in several other application scenarios, which are outlined in the paper.
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