A review of data mining algorithms on Hadoop's MapReduce

摘要

This paper is a review of the most frequently used data mining algorithms on Hadoop's MapReduce. We describe the algorithms with respect to their implementation and performance on Hadoop's MapReduce. We also discuss the similarities and differences between MapReduce's parallel or distributed implementations and the original standard sequential implementations.