Naive bayes classifier based partitioner for mapreduce

L Chen, W Lu, E Bao, L Wang, W Xing… - IEICE Transactions on …, 2018 - search.ieice.org
MapReduce is an effective framework for processing large datasets in parallel over a cluster.
Data locality and data skew on the reduce side are two essential issues in MapReduce …
被引用次数：4 相关文章

Naive Bayes Classifier Based Partitioner for MapReduce

C Lei, LU Wei, BAO Ergude, W Liqiang… - IEICE Transactions on …, 2018 - cir.nii.ac.jp
抄録< p> MapReduce is an effective framework for processing large datasets in parallel over
a cluster. Data locality and data skew on the reduce side are two essential issues in …

Naive Bayes Classifier Based Partitioner for MapReduce

L CHEN, W LU, E BAO, L WANG, W XING… - IEICE Transactions on …, 2018 - jstage.jst.go.jp
MapReduce is an effective framework for processing large datasets in parallel over a cluster.
Data locality and data skew on the reduce side are two essential issues in MapReduce …

[引用][C] Naive Bayes Classifier Based Partitioner for MapReduce

L CHEN, W LU, E BAO, L WANG… - … on Fundamentals of …, 2018 - ui.adsabs.harvard.edu
Naive Bayes Classifier Based Partitioner for MapReduce - NASA/ADS Now on home page ads
icon ads Enable full ADS view NASA/ADS Naive Bayes Classifier Based Partitioner for …

Naive Bayes Classifier Based Partitioner For Mapreduce

L Chen, LU Wei, BAO Ergude, L Wang… - IEICE Transactions on …, 2018 - stars.library.ucf.edu
MapReduce is an effective framework for processing large datasets in parallel over a cluster.
Data locality and data skew on the reduce side are two essential issues in MapReduce …