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The Research on the Application of Qualitative Mapping in MapReduce

The Research on the Application of Qualitative Mapping in MapReduce MapReduce is a mathematical tool handling the large-scale data sets through paralleling and distributive calculation. Currently the operations of MapReduce mainly include sorting, grouping and joining, etc. This paper undertakes a research on qualitative mapping and MapReduce, and finds that the solution procedure of qualitative mapping can be a new way of transforming data for MapReduce. Two examples are given to illustrate how to use qualitative mapping model to transforming semi-structured or unstructured data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Data Science Springer Journals

The Research on the Application of Qualitative Mapping in MapReduce

Annals of Data Science , Volume 2 (3) – Dec 18, 2015

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Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer-Verlag Berlin Heidelberg
Subject
Business and Management; Business and Management, general; Statistics for Business/Economics/Mathematical Finance/Insurance; Computing Methodologies
ISSN
2198-5804
eISSN
2198-5812
DOI
10.1007/s40745-015-0054-8
Publisher site
See Article on Publisher Site

Abstract

MapReduce is a mathematical tool handling the large-scale data sets through paralleling and distributive calculation. Currently the operations of MapReduce mainly include sorting, grouping and joining, etc. This paper undertakes a research on qualitative mapping and MapReduce, and finds that the solution procedure of qualitative mapping can be a new way of transforming data for MapReduce. Two examples are given to illustrate how to use qualitative mapping model to transforming semi-structured or unstructured data.

Journal

Annals of Data ScienceSpringer Journals

Published: Dec 18, 2015

References