Many real-world data sets can be represented in the form of Boolean (0/1) matrices, e.g. transactional data (purchase or not), product reviews (like or dislike), documents (containing a term or not).

Boolean control networks (BCNs) provide a robust framework for modelling complex systems through binary state variables governed by logical functions. These networks have emerged as powerful tools for ...

Matrix factorization techniques have become pivotal in data mining, enabling the extraction of latent structures from large-scale data matrices. These methods decompose complex datasets into ...