Three-way decision-based co-detection for outliers
From MaRDI portal
Publication:6137860
DOI10.1016/j.ijar.2023.108971MaRDI QIDQ6137860
Can Gao, Jiajun Wen, Xiaofeng Tan, Jie Zhou
Publication date: 4 September 2023
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Loda: lightweight on-line detector of anomalies
- Fuzzy rough sets, and a granular neural network for unsupervised feature selection
- Reduction target structure-based hierarchical attribute reduction for two-category decision-theoretic rough sets
- An expanded double-quantitative model regarding probabilities and grades and its hierarchical double-quantitative attribute reduction
- Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
- Generalized fuzzy rough sets
- Three-way class-specific attribute reducts from the information viewpoint
- Incremental fuzzy rough sets based feature subset selection using fuzzy min-max neural network preprocessing
- A review of sequential three-way decision and multi-granularity learning
- Multi-adjoint fuzzy rough sets: definition, properties and attribute selection
- Three-way attribute reducts
- Unsupervised fuzzy-rough set-based dimensionality reduction
- Estimating the Support of a High-Dimensional Distribution
- ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
- Discovering cluster-based local outliers
- Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
- Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection
- Multigranular rough set model based on robust intuitionistic fuzzy covering with application to feature selection
