ASFS: A novel streaming feature selection for multi-label data based on neighborhood rough set

Author:

Liu Jinghua,Lin Yaojin,Du Jixiang,Zhang Hongbo,Chen Ziyi,Zhang Jia

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Fujian Province

Key Laboratory of Data Science and Intelli- gence Application, Minnan Normal University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference52 articles.

1. Bai SX, Lin YJ, Lv Y, Chen JK, Wang CX (2021) Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification. Appl Intell 51(3):1602–1615

2. Cabral RS, Torre FDL, Costeira JP, Bernardino R (2011) Matrix completion for multi-label image classification. Advances in Neural Information Processing Systems, pp 190–198

3. Chen L, Xia MM (2021) A context-aware recommendation approach based on feature selection. Appl Intell 51(2):865– 875

4. Cheng YS, Chen F, Wang YB (2018) Feature selection for multi-label distribution learning with streaming data based on rough set. Journal of Computer Applications 38(11):3105– 3111

5. Dai L, Zhang J, Li CD, Zhou CG, Li SZ (2019) Multi-label feature selection with application to TCM state identification. Concurrency and Computation:, Practice and Experience 31(23):e4634. https://doi.org/10.1002/cpe.4634

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