The Local Outlier Data Mining Algorithm based on MapReduce and the Associated Subspace
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Hong Chen, Wenjiao Wang
With the continuous appearance of incremental data in mass data, it is necessary to update mining results. The existing incremental data mining methods may be not suitable for incremental mining of mass data. By aiming this problem and combining MapReduce with the associated classification mining.
Mapreduce, Mass data, Classification increment mining.