2017 International Conference on Green Informatics (ICGI) 2017
DOI: 10.1109/icgi.2017.38
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Efficient Subgraph Search on Large Anonymized Graphs

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Cited by 2 publications
(1 citation statement)
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“…Large‐scale data processing is a problem that must be faced in green cloud computing. Ding et al consider the data structure of the graph and propose an index structure named Closure + ‐tree to process the subgraph query efficiently. Wang et al consider the shortcoming of collaborative filtering in processing large‐scale data and propose a new method for training autoencoder‐based CF.…”
Section: Introductionmentioning
confidence: 99%
“…Large‐scale data processing is a problem that must be faced in green cloud computing. Ding et al consider the data structure of the graph and propose an index structure named Closure + ‐tree to process the subgraph query efficiently. Wang et al consider the shortcoming of collaborative filtering in processing large‐scale data and propose a new method for training autoencoder‐based CF.…”
Section: Introductionmentioning
confidence: 99%