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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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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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MLID : A multilabelextension of the ID3 algorithm
AbstractMachine learning is a subfield within artificial intelligence that revolves around constructingalgorithms that can learn from, and make predictions on data. Instead of following strict andstatic instruction, the system operates by adapting and learning from input data in order tomake predictions and decisions.
Starefors, Henrik, Persson, Rasmus
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Application of ID3 Algorithm in Fault Diagnosis of Continuously Variable Transmission [PDF]
He Huang, lifang ouyang
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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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Retracted: An Evaluation Method for the Construction of Double-Qualified Teachers in Vocational Schools Based on ID3 Algorithm and Neural Networking [PDF]
Wireless Communications and Mobile Computing
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AN EFFECTIVE SPAM FILTERING FOR DYNAMIC MAIL MANAGEMENT SYSTEM [PDF]
Spam is commonly defined as unsolicited email messages and the goal of spam categorization is to distinguish between spam and legitimate email messages.
S. Arun Mozhi Selvi, R.S. Rajesh
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