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2006
Conference Paper
Title

Frequent hypergraph mining

Abstract
The problem class $\\cC_{\\rm FHM}$ of frequent hypergraph mining is introduced which generalizes the class of frequent graph mining problems and contains also the frequent itemset mining problem. We study the computational properties of different problems of $\\cC_{\\rm FHM}$ and, besides negative results, present practically relevant problems that can be solved in incremental-polynomial time. 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.
Author(s)
Horvath, Tamas  
Bringmann, B.
Raedt, L. de
Mainwork
16th International Conference on Inductive Logic Programming, ILP 2006  
Conference
International Conference on Inductive Logic Programming (ILP) 2006  
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • frequent pattern mining

  • hypergraphs

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