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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.
Taming Primary Key Violations to Query Large Inconsistent Data
Consistent query answering over a database that violates primary key constraints is a classical hard problem in database research that has been traditionally dealt with logic programming.
