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Towards generic and efficient constraint-based mining, a constraint programming approach
In EGC 2016, vol. RNTI-E-30, pp.13-20
In today's data-rich world, pattern mining techniques allow us to extract knowledge from
data. However, such knowledge can take many forms and often depends on the application at
hand. This calls for generic techniques that can be used in a wide range of settings. In recent
years, constraint programming has been shown to offer a generic methodology that fits many
pattern mining settings, including novel ones. Existing constraint programming solvers do not
scale very well though. In this talk, I will review different ways in which this limitation has
been overcome. Often, this is through principled integration of techniques and data structures
from pattern mining into the constraint solvers.