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arXiv · 1911.09587

Vouw: Geometric Pattern Mining using the MDL Principle

Micky Faas·Matthijs van Leeuwen
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Abstract

We introduce geometric pattern mining, the problem of finding recurring local structure in discrete, geometric matrices. It differs from existing pattern mining problems by identifying complex spatial relations between elements, resulting in arbitrarily shaped patterns. After we formalise this new type of pattern mining, we propose an approach to selecting a set of patterns using the Minimum Description Length principle. We demonstrate the potential of our approach by introducing Vouw, a heuristic algorithm for mining exact geometric patterns. We show that Vouw delivers high-quality results with a synthetic benchmark.

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Micky Faas, Matthijs van Leeuwen. 2019-11-21. Vouw: Geometric Pattern Mining using the MDL Principle. https://arxiv.org/abs/1911.09587

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