Mapreduce-based Mining
MapReduce-Based Mining is a data mining methodology that leverages the MapReduce programming paradigm to enable scalable, distributed processing of large datasets by partitioning mining tasks into parallelizable map and reduce phases.
234
Publications
14.4K
Citations
651
Authors
296
Institutions
Publications per year
2017–2026
82
Parents
234
Top 10 algorithms in data mining
Xindong Wu, Vipin Kumar, J. R. Quinlan et al. · Knowledge and Information Systems · 2007 · 5.7K citations
Frequent Itemset Mining for Big Data
Sandy Moens, Emin Aksehirli, Bart Goethals · 2013 · 213 citations
1–5 of 234
651
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Western Norway University of Applied Sciences, Norway
4 publications · 160 citations
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4
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4
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4
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1–5 of 651
296

University of Manitoba
Winnipeg, Canada
4 h-index
10 publications
560 citations

Renmin University of China
Beijing, China
4 h-index
14 publications
196 citations

Universidad de Granada
Granada, Spain
4 h-index
10 publications
895 citations
Western Norway University of Applied Sciences
Bergen, Norway
4 h-index
4 publications
160 citations

China Medical University
Taichung, Taiwan
4 h-index
4 publications
160 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
10 publications
993 citations
University of Córdoba
Córdoba, Spain
4 h-index
9 publications
290 citations
Brandon University
Brandon, Canada
4 h-index
4 publications
160 citations
1–8 of 296
5 publications · 156 citations
5
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3 publications · 137 citations
3
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TKDE · 3 publications · 164 citations
3
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3 publications · 5.7K citations
3
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3 publications · 77 citations
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