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2022 AAAI AAAI 2022

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

Abstract

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

🌉 Interdisciplinary Bridge — Computer Science and Data Science & Analytics and Machine Learning and Mathematics & Optimization
🧭 Keyword Pioneer — sequence database
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Xin Wang , Amin Hosseininasab , Pablo Colunga , Serdar Kadıoğlu , Willem-Jan van Hoeve

Topics

Machine Learning > Core Methods > Clustering Machine Learning > Learning Types > Unsupervised Learning Data Science & Analytics > Methods > Data Mining Mathematics & Optimization > Optimization > Combinatorial Optimization Computer Science > Foundations > Algorithms Computer Science > Applications > Information Retrieval Machine Learning > Core Methods > Feature Learning Machine Learning > Core Methods > Optimization Machine Learning > Application Areas > Classification

Keywords

feature extraction data mining constraint reasoning knowledge discovery sequential pattern mining sequence database constraint-based mining pattern generation automated feature extraction
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