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For: Bigdeli E, Mohammadi M, Raahemi B, Matwin S. A fast and noise resilient cluster-based anomaly detection. Pattern Anal Appl 2015. [DOI: 10.1007/s10044-015-0484-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Number Cited by Other Article(s)
1
Cai S, Chen J, Chen H, Zhang C, Li Q, Nii Ayitey Sosu R, Yin S. An efficient anomaly detection method for uncertain data based on minimal rare patterns with the consideration of anti-monotonic constraints. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.08.097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
2
Zhou K, Yang S. Effect of cluster size distribution on clustering: a comparative study of k-means and fuzzy c-means clustering. Pattern Anal Appl 2019. [DOI: 10.1007/s10044-019-00783-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
3
Deb R, Liew AWC. Noisy values detection and correction of traffic accident data. Inf Sci (N Y) 2019. [DOI: 10.1016/j.ins.2018.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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