An Intuitionistic Calculus to Complex Abnormal Event Recognition on Data Streams
Data mining in real-time data streams is associated with multiple types of uncertainty, which often leads the respective categorizers to make erroneous predictions related to the presence or absence of complex events. But recognizing complex abnormal events, even those that occur in extremely rare c...
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Autores principales: | Zhao Lijun, Hu Guiqiu, Li Qingsheng, Ding Guanhua |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Hindawi-Wiley
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/9842835ccc5c4ca699b2ee701ee6c3a2 |
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