decision tree
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets
... evolved decision-tree algorithm had its predictive accuracy evaluated on a separate hold-out subset of the same target data ...a decision-tree algorithm, very specifically tailored to a single ...
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A Decision tree and Conditional Median Filter Based Denoising for impulse noise in images
... a decision- tree- based impulse noise detector is used to detect the noisy pixels and an efficient conditional median filter is used to reconstruct the intensity values of noisy ...
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An Efficient Way for Clustering Using Alternative Decision Tree
... Alternative Decision Tree (ADTree) is a learning (Mahmoodian et ...generalizes decision tree for performing the supervised ...nodes decision nodes and prediction node. Decision ...
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Enhancing the Performance of Entropy Algorithm using Minimum Tree in Decision Tree Classifier
... the decision tree classifier where decision tree classifier builds a model from the training data in the form of a ...instances. Decision tree classifier is one of the best ...
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Comparative analysis of decision tree algorithms on quality of water contaminated with soil
... Intelligence (AI) techniques that are among the main sensor fusion used techniques, such as statisticand probabilistic,Dempster-Shaper Evidence Theory and others (KAFTANDJIAN, 2005) (SANTOS, 2007). The technique used in ...
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A decision-tree-based model for evaluating the thermal comfort of horses
... the decision tree can be represented by IF-THEN Rules for Classifi ...generated decision trees were compared for accuracy rate, complexity based on the number of rules generated, and ability to ...
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Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data
... top-down decision-tree algorithms ...of decision-tree ...a decision- tree algorithm: split genes, stopping criteria genes, prun- ing genes, and missing values ...
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Building Customers` Credit Scoring Models with Combination of Feature Selection and Decision Tree Algorithms
... and decision tree algorithms that are constructed from and „+‟ character between these two kinds of algorithms for ...this tree classification model is made without feature ...
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Applying Fuzzy ID3 Decision Tree for Software Effort Estimation
... In this paper, we have empirically studied two fuzzy ID3 models for software effort estimation. Each one used a different formula to compute the fuzzy entropy. These fuzzy ID3 models were trained and tested using two ...
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Fingerprint Gender Classification using Univariate Decision Tree (J48)
... The four extracted features are save into four different files. The first file contain two types of fingerprint features which are Ridge Density (RD) and Ridge Thickness to Valley Thickness Ratio (RTVTR), the second file ...
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Generating Optimized Decision Tree Based on Discrete Wavelet Transform
... the decision making operations through mass data mining ...optimization decision tree is now an active research ...optimized decision tree with multi-attribute data source is considered ...
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USING PRECEDENTS FOR REDUCTION OF DECISION TREE BY GRAPH SEARCH
... the decision tree complexity a method of precedents is proposed that consists in saving the intermediate solution during the moving along decision ...
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Predicting future trends in stock market by decision tree rough-set based hybrid system with HHMM
... with decision tree algorithm and according to the algorithm relevant features are selected for the purpose of ...CART decision tree algorithm is used for tree creation. Tree is a ...
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Nosocomial Infections in Brazilian Pediatric Patients: Using a Decision Tree to Identify High Mortality Groups
... a tree-structured survival analysis (TSSA), two groups with high mortality rates were identified: one group with time from admission to the first NI less than 11 days, received two or more antibiotics and suffered ...
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Exploring residential satisfaction in shrinking cities: a decision-tree approach
... Keywords: Residential satisfaction, population decline, shrinking cities, cities’ features, 16.. tree-based approach..[r] ...
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MINERAÇÃO DE DADOS E ESTIMATIVA DA MORTALIDADE ALTA DE FRANGOS QUANDO EXPOSTOS A ONDA DE CALOR
... ABSTRACT: Heat waves usually result in losses of animal production since they are exposed to thermal stress inducing an increase in mortality and consequent economical losses. Animal science and meteorological databases ...
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Separating bedtime rest from activity using waist or wrist-worn accelerometers in youth.
... The decision tree developed in this study did not attempt to assess sleep, which is most likely included in the bedtime rest ...Our decision tree does not require either diary or any manual ...
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Economic assessment of postoperative pain control strategies for treatment of adult patients with cancer
... the decision tree model for postoperative pain control strategies for adult patients with cancer showed dominance of sufen- tanil in comparison to fentanyl, due to lower costs of treatment and better ...
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Shedding Light on the Role of Sample Sizes and Splitting Proportions in Out-of-Sample Tests: A Monte Carlo Cross-Validation Approach
... To shed light on these question, we relied on different simulations of the predictive performance of the logistic regression as well as the C5.0 decision tree algorithm. We used a real world data sample ...
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Prediction of soil orders with high spatial resolution: response of different classifiers to sampling density
... a decision tree (Gini) and three artificial neural networks: adaptive resonance theory, fuzzy ARTMap; self-organizing map, SOM; and multi-layer perceptron, ...The decision tree was less ...
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