Abstract: Classification is the main research target of many algorithms in data mining. Of all the algorithms, decision trees are more preferred by researchers due to their clarity and readability.

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A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic ...

Endothelial cells regulate their cell cycle as blood vessels remodel and transition to quiescence downstream of blood flow–induced mechanotransduction. Laminar blood flow leads to quiescence, but how ...

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...

Abstract: ID3 is a well-known algorithm which is used in the classification task of the decision tree learning. Although a lot of research provides improvements on the traditional ID3 algorithm with ...

1 School of Computer Science and Engineering, Sichuan University of Science and Engineering, Yibing, China. 2 Key Laboratory of Higher Education of Sichuan Province for Enterprise Informationalization ...