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Published in 2019 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2019.1599124
Abstract: ABSTRACT We present an adaptation and application of frequent subgraph mining (FSM) in a time series of spatial multi-level directed graphs depicting probabilistic transitions of water masses between neighboring sea areas within a given time…
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Keywords:
frequent subgraph;
multi level;
subgraph mining;
level directed ... See more keywords
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Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx481
Abstract: Motivation: The ability to predict pathways for biosynthesis of metabolites is very important in metabolic engineering. It is possible to mine the repertoire of biochemical transformations from reaction databases, and apply the knowledge to predict…
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Keywords:
novel metabolic;
metabolic pathways;
predicting novel;
subgraph mining ... See more keywords
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Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2743075
Abstract: Frequent subgraph mining is a core graph operation used in many domains, such as graph data management and knowledge exploration, bioinformatics, and security. Most existing techniques target static graphs. However, modern applications, such as social…
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Keywords:
frequent subgraph;
evolving graphs;
large evolving;
subgraph mining ... See more keywords
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Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2071-z
Abstract: BackgroundFrequent subgraphs mining is a significant problem in many practical domains. The solution of this kind of problem can particularly used in some large-scale drug molecular or biological libraries to help us find drugs or…
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Keywords:
cpu;
mining;
frequent subgraph;
subgraph mining ... See more keywords