Efficiently extracting frequent subgraphs using MapReduce

10.1109/BigData.2013.6691633

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Main Authors: Lu, W., Chen, G., Tung, A.K.H., Zhao, F.
Other Authors: COMPUTER SCIENCE
Format: Conference or Workshop Item
Published: 2014
Online Access:http://scholarbank.nus.edu.sg/handle/10635/78122
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-781222015-01-05T19:38:26Z Efficiently extracting frequent subgraphs using MapReduce Lu, W. Chen, G. Tung, A.K.H. Zhao, F. COMPUTER SCIENCE 10.1109/BigData.2013.6691633 Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013 639-647 2014-07-04T03:12:40Z 2014-07-04T03:12:40Z 2013 Conference Paper Lu, W.,Chen, G.,Tung, A.K.H.,Zhao, F. (2013). Efficiently extracting frequent subgraphs using MapReduce. Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013 : 639-647. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/BigData.2013.6691633" target="_blank">https://doi.org/10.1109/BigData.2013.6691633</a> 9781479912926 http://scholarbank.nus.edu.sg/handle/10635/78122 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
description 10.1109/BigData.2013.6691633
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
Lu, W.
Chen, G.
Tung, A.K.H.
Zhao, F.
format Conference or Workshop Item
author Lu, W.
Chen, G.
Tung, A.K.H.
Zhao, F.
spellingShingle Lu, W.
Chen, G.
Tung, A.K.H.
Zhao, F.
Efficiently extracting frequent subgraphs using MapReduce
author_sort Lu, W.
title Efficiently extracting frequent subgraphs using MapReduce
title_short Efficiently extracting frequent subgraphs using MapReduce
title_full Efficiently extracting frequent subgraphs using MapReduce
title_fullStr Efficiently extracting frequent subgraphs using MapReduce
title_full_unstemmed Efficiently extracting frequent subgraphs using MapReduce
title_sort efficiently extracting frequent subgraphs using mapreduce
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/78122
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