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For: Ding W, Lin C, Liew AW, Triguero I, Luo W. Current trends of granular data mining for biomedical data analysis. Inf Sci (N Y) 2020;510:341-3. [DOI: 10.1016/j.ins.2019.10.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Number Cited by Other Article(s)
1
An Efficient Approach for Mining Maximized Erasable Utility Patterns. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.07.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
2
Ju H, Ding W, Yang X, Fujita H, Xu S. Robust supervised rough granular description model with the principle of justifiable granularity. Appl Soft Comput 2021. [DOI: 10.1016/j.asoc.2021.107612] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
3
de Carvalho FDA, Lima Neto EDA, da Silva KC. A clusterwise nonlinear regression algorithm for interval-valued data. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2020.10.054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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