Abstract
The class of frequent hypergraph mining problems is introduced which includes the frequent graph mining problem class and contains also the frequent itemset mining problem. We study the computational properties of different problems belonging to this class. In particular, besides negative results, we present practically relevant problems that can be solved in incremental-polynomial time. Some of our practical algorithms are obtained by reductions to frequent graph mining and itemset mining problems. Our experimental results in the domain of citation analysis show the potential of the framework on problems that have no natural representation as an ordinary graph.
An early version of this paper appeared in T. Gärtner, G.C. Garriga, and T. Meinl (Eds.), Proc. of the International Workshop on Mining and Learning with Graphs, pages 25–36, ECML/PKDD’06 workshop proceedings, Berlin, Germany, 2006.
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Horváth, T., Bringmann, B., De Raedt, L. (2007). Frequent Hypergraph Mining. In: Muggleton, S., Otero, R., Tamaddoni-Nezhad, A. (eds) Inductive Logic Programming. ILP 2006. Lecture Notes in Computer Science(), vol 4455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73847-3_26
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DOI: https://doi.org/10.1007/978-3-540-73847-3_26
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