Classification of Imbalanced Data Using a Modified Fuzzy-Neighbor Weighted Approach
Article Properties
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DOI (url)
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Publication Date2017/02/28
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Indian UGC (journal)
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Citations7
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Patel Harshita
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Thakur Singh
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Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Breast cancer diagnosis using feature extraction and boosted C5.0 decision tree algorithm with penalty factor | Mathematical Biosciences and Engineering | 7 | 2022 | |
| CDBH: A clustering and density-based hybrid approach for imbalanced data classification | Expert Systems with Applications |
| 36 | 2021 |
On the hybridization of pre-trained deep learning and differential evolution algorithms for semantic crack detection and recognition in ensemble of infrastructures | Smart and Sustainable Built Environment |
| 2 | 2021 |
A Survey of
k
Nearest Neighbor Algorithms for Solving the Class Imbalanced Problem | Wireless Communications and Mobile Computing |
| 3 | 2021 |
| An “Outside the Box” Solution for Imbalanced Data Classification | IEEE Access |
| 2020 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 4
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled An Improved Fuzzy K-Nearest Neighbor Algorithm for Imbalanced Data using Adaptive Approach and was published in 2018. The most recent citation comes from a 2022 study titled Breast cancer diagnosis using feature extraction and boosted C5.0 decision tree algorithm with penalty factor. This article reached its peak citation in 2021, with 3 citations. It has been cited in 7 different journals, 14% of which are open access. Among related journals, the Mathematical Biosciences and Engineering cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.