The document summarizes a system called ConQueSt that allows for interactive and constraint-based mining of frequent patterns from relational databases. It uses a query language called SPQL to define the input data and mining parameters. The system's mining engine efficiently handles a variety of constraints and pushes them deep into the mining process for performance and scalability. The talk describes the language, architecture, demo of the system, and ideas for future work.

1. Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti KDD Laboratory HPC Laboratory ISTI – C.N.R. Italy “ On Interactive Pattern Mining from Relational Databases”

14. Demo