Comparative Study to Measure the Quality of Big Scholarly Data and Its Hypothetical Mapping towards Granular Computing

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Comparative Study to Measure the Quality of Big Scholarly Data and Its Hypothetical Mapping towards Granular Computing

Nowadays, researchers are interested on granular computing in order to solve the big data problem. The volume of Big Scholarly Data (BSD) is rapidly growing. In order to evaluate the research performance, it’s becoming essential to evaluate the impact of BSD. Traditionally, journals have been ranked...

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Bibliographic Details
Main Authors:	Ahmed, M. M., Kader, Md. Abdul, Kamal Z., Zamli
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/20134/ http://umpir.ump.edu.my/id/eprint/20134/1/Comparative%20Study%20to%20Measure%20the%20Quality%20of%20Big%20Scholarly.pdf

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