Review paper
An Intuitionistic Calculus to Complex Abnormal Event Recognition on Data Streams
Abstract
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 cases, offers significant support to decision-making systems. Therefore, there is a need for robust recognition mechanisms that will be able to...
Paper Details
Title
An Intuitionistic Calculus to Complex Abnormal Event Recognition on Data Streams
Published Date
Nov 9, 2021
Volume
2021
Pages
1 - 14
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