The frequent pattern mining (FPM) in graphs can also be taken as frequent subgraph mining (FSM), and it is to find popular patterns in networks (i.e., subgraphs) ...
Apr 5, 2021 · Frequent pattern mining (FPM) has been playing a significant role in many domains, such as social networks and bioinformatics.
Frequent Pattern Mining in Big Social Graphs | Request PDF
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In this research work, a computational intelligence approach is proposed to find the appropriate sizes and optimal placements of newly introduced different ...
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Aug 31, 2023 · Frequent pattern mining in data mining is the process of identifying patterns or associations within a dataset that occur frequently.
[PDF] Frequent Subgraph and Pattern Mining in a Single Large Graph
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Mining frequent subgraphs is an important operation on graphs; it is defined as finding all subgraphs that appear frequently in a database according to a given ...
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However, a typical approach to mine frequent subgraphs is using grow and store method which includes different phases such as (Gu et al., 2016; Yuan et al., ...
Jun 1, 2021 · Abstract. Frequent pattern mining algorithms often draw on graph isomorphism to identify common pattern occurrences.
We propose SpiderMine, a novel algorithm to efficiently mine top-K largest frequent patterns from a single massive network with any user-specified probability ...
This paper targets pattern mining in the single-graph setting. We propose mining a new class of patterns called frequent neighborhood patterns, which is free ...
Frequent graph patterns are subgraphs found in a graph collection, or a single graph, at least as many times as a user specified frequency threshold. These ...