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Decision Trees are a common approach used for classifying unseen data into defined classes. The Information Gain is usually applied as splitting criteria in the node selection process for constructing the decision tree.
Sirichanya Chanmee, Kraisak Kesorn
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Population aging is a global issue. China is facing the same challenge, especially in its megacities, with more than 10 million permanent urban residents. These densely populated cities urgently need the scientific planning and optimization of the layout
Huicheng Feng, Xiaoxiang Tang, Cheng Zou
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Analysis of mental health influencing factors and students’ psychological education countermeasures based on ID3 algorithm [PDF]
Hongfeng Li
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[Retracted] An Evaluation Method for the Construction of Double‐Qualified Teachers in Vocational Schools Based on ID3 Algorithm and Neural Networking [PDF]
Henan Wu, Peng Gui
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Spatial Classification algorithm (Modified-ID3) to identify OLR anomaly preceding M≥6.0 earthquakes-A case study on the vicinity of the 26 December 2004 earthquake [PDF]
Ramya Jeyaraman, N. Venkatanathan
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A new feature selection model based on ID3 and bees algorithm for intrusion detection system
Adel Sabry Eesa +2 more
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Prediksi Deteksi Penyakit Kanker Payudara dengan Menggunakan Algoritma Decision Tree
Cancer is a deadly disease that is difficult to cure. Early cancer detection can be done through laboratory tests to identify the cancer type. Breast cancer is a type of cancer with initial symptoms in the form of a lump.
Ayu Dian Fitri Mellina +2 more
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