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- W1966096492 abstract "Subgraph Mining aims to find frequent, descriptive and interesting subgraphs in a graph database. Usually, this search involves simple user-defined thresholds and is only driven by a single-objective. In this paper, we propose an Evolutionary Multiobjective Optimization algorithm, called MOEP-SO, to mine subgraphs from graph-represented data by maximizing two objectives, support and size of the subgraphs. Experimental results on synthetic and real-life graph-based datasets validate the utility of the proposed methodology when benchmarked against classical single-objective methods and their previous, non-evolutionary multiobjective extensions." @default.
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- W1966096492 date "2011-11-01" @default.
- W1966096492 modified "2023-09-23" @default.
- W1966096492 title "MOEP-SO: A multiobjective evolutionary programming algorithm for graph mining" @default.
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- W1966096492 doi "https://doi.org/10.1109/isda.2011.6121658" @default.
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