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Minseo Kang

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Journal Articles

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2020
[j5]
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  - journals/tjs/KangL20
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  - https://dblp.org/rec/journals/tjs/KangL20
Minseo Kang, Jae-Gil Lee:
Effect of garbage collection in iterative algorithms on Spark: an experimental analysis. J. Supercomput. 76(9): 7204-7218 (2020)
2019
[j4]
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  - electronic edition @ computer.org (open access)
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  dblp key:
  - journals/debu/IdreosZCQWHKDGK19
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Stratos Idreos, Kostas Zoumpatianos, Subarna Chatterjee, Wilson Qin, Abdul Wasay, Brian Hentschel, Mike S. Kester, Niv Dayan, Demi Guo, Minseo Kang, Yiyou Sun:
Learning Data Structure Alchemy. IEEE Data Eng. Bull. 42(2): 47-58 (2019)
2017
[j3]
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  - journals/cluster/KangL17
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Minseo Kang, Jae-Gil Lee:
An experimental analysis of limitations of MapReduce for iterative algorithms on Spark. Clust. Comput. 20(4): 3593-3604 (2017)
2016
[j2]
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  - journals/dke/MoonLKCL16
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Seunghyeon Moon, Jae-Gil Lee, Minseo Kang, Minsoo Choy, Jin-Woo Lee:
Parallel community detection on large graphs with MapReduce and GraphChi. Data Knowl. Eng. 104: 17-31 (2016)
2015
[j1]
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  - journals/bdr/LeeK15
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Jae-Gil Lee, Minseo Kang:
Geospatial Big Data: Challenges and Opportunities. Big Data Res. 2(2): 74-81 (2015)

Conference and Workshop Papers

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2017
[c5]
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  dblp key:
  - conf/bigcomp/KangKL17
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  - https://dblp.org/rec/conf/bigcomp/KangKL17
Hyun Gook Kang, Minseo Kang, Jae-Gil Lee:
Efficient fall detection based on event pattern matching in image streams. BigComp 2017: 51-58
2016
[c4]
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  dblp key:
  - conf/cikm/LeeKYLK16
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Haejoon Lee, Minseo Kang, Sun-Bum Youn, Jae-Gil Lee, YongChul Kwon:
An Experimental Comparison of Iterative MapReduce Frameworks. CIKM 2016: 2089-2094
[c3]
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  - conf/edb/KangL16
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Minseo Kang, Jae-Gil Lee:
A comparative analysis of iterative MapReduce systems. EDB 2016: 61-64
2015
[c2]
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  dblp key:
  - conf/bigcomp/KimKLL15
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Jungeun Kim, Minseo Kang, Sungsu Lim, Jae-Gil Lee:
Triangle counting in networks using a multi-level branching technique. BigComp 2015: 47-50
2014
[c1]
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  - conf/bigcomp/MoonLK14
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Seunghyeon Moon, Jae-Gil Lee, Minseo Kang:
Scalable community detection from networks by computing edge betweenness on MapReduce. BigComp 2014: 145-148

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