Linguistic Aggregation Functions using the MapReduce Paradigm

نویسندگان

  • Patricia Conde Clemente
  • Gracián Triviño
  • José M. Alonso
چکیده

We explore the possible benefit that provides a linguistic approach to Big Data. The proposal illustrates how implement Linguistic Aggregation Functions using the MapReduce paradigm. The best known paradigm applied to Big Data. The proposal allows several benefits to Big Data e.g., it allows to interpret data in a more intuitive way, reduce data size into different levels of granularity, and manage the imprecision and incompleteness of data. We show the usefulness of the proposed approach with an illustrative example.

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تاریخ انتشار 2015