Introduction to the special issue on Combining Constraint Solving with Mining and Learning

摘要

Data mining, machine learning and constraint solving are major themes in artificial intelligence research. They have evolved quite independently, though in recent years, there is a growing interest in the potential of integrating these fields. Data mining and machine learning are methods for extracting regularities out of data, for example which instances cluster together, what patterns appear frequently in the data or what function can discriminate positive from negative examples. On the other hand, constraint solving investigates generic methods for solving constraint satisfaction and optimization problems.