HIGHLIGHTS
- who: Mohamad Khairi Ishak from the School of Electrical and Electronic Engineering, Universiti Sains Malaysia (USM), Nibong Tebal, Pulau Pinang, Malaysia University College, United Arab Emirates University, Al Ain, UAE have published the Article: Enhanced Best Fit Algorithm for Merging Small Files, in the Journal: (JOURNAL)
- what: This study proposes a novel solution to the problem by applying the Enhanced Best Fit Merging algorithm (EBFM) that merges files depending on predefined parameters (type and size). By considering these critical data processing-related issues, this study proposes a new data preprocessing algorithm that utilizes the Best . . .
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