Automatic Merging of Scopus and Web of Science Data for Simplified and Effective Bibliometric Analysis

Author:

Kasaraneni HimaJyothiORCID,Rosaline SaliniORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Reference35 articles.

1. Raban DR, Gordon A (2020) The evolution of data science and big data research: a bibliometric analysis. Scientometrics 122:1563–1581. https://doi.org/10.1007/s11192-020-03371-2

2. Simplilearn (2022) What is data science: lifecycle, applications, prerequisites and tools. Simplilearn. https://www.simplilearn.com/tutorials/data-science-tutorial/what-is-data-science. Accessed 8 Jul 2022

3. Shi Y (2022) Advances in big data analytics: Theory, algorithm and practice. Springer, Singapore

4. Craig S, Adam H (n.d.) data mining. Search business analytics, Techtarget. https://www.techtarget.com/searchbusinessanalytics/definition/data-mining#:~:text=Data%20mining%20is%20a%20key,useful%20information%20in%20data%20sets. Accessed 9 Jul 2022

5. Olson DL, Shi Y (2007) Introduction to business data mining. McGraw-Hill/Irwin, New York

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