In traditional parallel and distributed data mining algorithms the issues are data decomposition: data and task, data layout: horizontal and vertical, load balancing: static and dynamic, memory used: shared, distributed and hybrid. So if we design data mining algorithms on the MapReduce platform what should be the research issues?
Katarina Grolinger
There has been significant work building algorithms on top of MapReduce. Some very good papers surveying this topic include:
http://link.springer.com/article/10.1007%2Fs00778-013-0319-9#page-1
http://dl.acm.org/citation.cfm?id=2503009
http://dl.acm.org/citation.cfm?id=2522979
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