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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publisher
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/20134/1/Comparative%20Study%20to%20Measure%20the%20Quality%20of%20Big%20Scholarly.pdf http://umpir.ump.edu.my/id/eprint/20134/ https://doi.org/0.1166/asl.2018.13022 |
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