Integrating fuzzy constraint with feature correlation for local outlier mining

Author:

Femi P SharonORCID,Vaidyanathan S Ganesh,Kala A

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference40 articles.

1. Hawkins D M 1980 Identification of outliers Chapman and Hall, London, pp 1–12

2. Chandola V, Banerjee A and Kumar V 2009 Anomaly detection: A survey. ACM Comput. Surv. 41: 1–58

3. Mazidi A, Roshanfar F and Parvin Darabad V 2019 A review of outliers: towards a novel fuzzy method for outlier detection. J. Appl. Dyn. Syst. Control. 2: 7–17

4. Verma D, Kumar R and Kumar A 2017 Survey paper on outlier detection using fuzzy logic based method. Int. J. Cybern. Inform. 6: 29–35

5. Femi P S and Vaidyanathan S G 2018 Comparative study of outlier detection approaches. In: 2018 International Conference on Inventive Research in Computing Applications. IEEE, pp. 366–371

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1. A Survey on Improved Feature Engineering Assisted Multi-Constraints Outlier Analysis Model for Heuristic Driven K-Means Clustering;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

2. The influence of feature grouping algorithm in outlier detection with categorical data;Acta Scientiarum. Technology;2024-04-17

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