A Survey on Parallel Rough Set Based Knowledge Acquisition using MapReduce from Big Data

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Provided by: International Journal of Advanced Research in Computer Engineering & Technology
Topic: Data Management
Format: PDF
Now-a-days, the volume of data is growing at an unprecedented rate; big data mining and knowledge discovery have become a new challenge in the era of data mining and machine learning. Rough set theory for knowledge acquisition has been successfully applied in data mining. The MapReduce technique, received more attention from scientific community as well as industry for its applicability in big data analysis. In this paper, the authors have presented working and execution flow of the MapReduce programming paradigm with map and reduce function.
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