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ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

Abstract: Among various classification algorithms, ID3 is one of the most widely used and well-known tools that generates an efficient decision tree. Nevertheless, ID3 is too rigorous in generating ...

Ms. Angwin is a contributing Opinion writer and an investigative journalist. Social media can feel like a giant newsstand, with more choices than any newsstand ever. It contains news not only from ...

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have ...

Pre-eclampsia (PE) is a type of hypertensive disorder during pregnancy, which is a serious threat to the life of mother and fetus. It is a placenta-derived disease that results in placental damage and ...

Abstract: This paper presents an improved ID3 algorithm for computer forensics. Forensics data are volatile, noisy and dispersive. Based on these characteristics, ontology is used to produce the ...