Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining

Pattern mining is an essential part of knowledge discovery and data analytics. It a powerful paradigm, especially when combined with constraint reasoning. In this paper, we present Seq2Pat, constraint-based sequential pattern tool high-level declarative user interface. The library finds patterns that frequently occur in large sequence databases subject to constraints. We highlight key benefits are desirable, industrial settings where scalability, explainability, rapid experimentation, reusability, reproducibility great interest. then showcase automated feature extraction process powered by Seq2Pat discover insights boost downstream machine learning models for customer intent prediction.