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MapReduce Algorithms for Big Data Analysis

Summary: Tutorial on MapReduce/Hadoop for big-data analytics, focusing on efficient algorithm design. Presents state-of-the-art MapReduce techniques for data mining, ML, and similarity joins, with emphasis for researchers and practitioners in scalable data management. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10649
Venue
VLDB
Year
2012
Pagerank
5.2966408e-05
Overall Rank
9,263 | 36.45%
DOI
10.14778/2367502.2367564

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{shim_vldb12,
        title = {{MapReduce Algorithms for Big Data Analysis}},
        author = {Shim, Kyuseok},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {2016--2017},
        doi = {10.14778/2367502.2367564},
        url = {https://doi.org/10.14778/2367502.2367564},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,168 Optimization for iterative queries on MapReduce 2014 VLDB 5.6841364e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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