Constraint-Based Mining and Inductive Databases (original) (raw)

This work focuses on the intersection of inductive databases and constraint-based mining, emphasizing the potential transformative impact on knowledge discovery processes. The text discusses findings from the European IST project cInQ, showcasing advancements in designing an inductive query language and optimization strategies for constraint-based mining, particularly for various local patterns and models. It highlights collaborative contributions from multiple research institutions, and outlines the contemporary challenges and future directions in the field, aiming for a more efficient interactive querying process in data mining.