Review results for the manuscript "Evolutionary sampling techniques for addressing data quality problems in imbalanced data classification: A systematic literature review"
This data contains the review results for the manuscript titled "Evolutionary sampling techniques for addressing data quality problems in imbalanced data classification: A systematic literature review" authored by Fhira Nhita, Asniar, Isman Kurniawan, and Adiwijaya. The data is organized into several sheets, which are designed to produce tables and figures summarizing the review results: Sheet 1: List of reviewed papers, totaling 42 papers. Sheet 2: Filtered data for generating a chart of documents by publication year. Sheet 3: Filtered data for generating charts of documents categorized by type and quartile rankings. Sheet 4: Filtered data for resulting : Tables for imbalanced datasets without noise and class overlapping, Tables for noise-related studies, Tables for class overlapping-related studies. A link to the published paper will be provided upon publication.
Institutions
- Telkom University (ID)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-29
- DOI
- https://doi.org/10.5281/zenodo.14553583
- Primary Topic
- Imbalanced Data Classification Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00