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This forecast is based on decision tree analyses of three main products and two collateral business opportunities.
This study aims to fill the gap by developing a data mining framework based on decision tree and association rules to generate useful rules for personnel selection.
The aim of this study is to detect epileptic seizure in EEG signals using a hybrid system based on decision tree classifier and fast Fourier transform (FFT).
Utilizing the information about wild type, mutant, three neighboring residues and experimentally observed stability data, we have developed a method based on decision tree for discriminating the stabilizing and destabilizing mutants and predicting the protein stability changes upon single point mutations, which showed an accuracy of 82% and a correlation of 0.70, respectively.
The proposed approach is based on decision tree and artificial bee colony.
Here, all boosting methods are based on decision tree for the comparison of performance.
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However, a decision model based on decision trees exponentially grows with inspection and maintenance number.
The proposed method involves the fusion of classifiers based on decision trees designed using fuzzy techniques.
Using the new proposed hybrid algorithms based on decision trees enhanced the simple MLP and RBF models' performance.
In the current prototype, context inference is based on decision trees to learn and to identify contexts dynamically at run-time, but the middleware allows the integration of different inference engines if necessary.
It is an ensemble classifier methodology based on decision trees.
More suggestions(17)
based on decision curve
based on wavelet tree
based on parse tree
based on decision fusion
based on individual tree
based on decision analysis
based on decision modelling
based on spanning tree
based on decision autonomy
based on junction tree
based on prefix tree
based on decision maker
based on decision analytic
based on decision implementation
based on decision stump
based on fault tree
based on decision feedback
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