Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 396 for “"Decision Tree"”.
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Decision Tree Analysis
A Fortune Magazine survey on management decision-making revealed that most corporate presidents do not know how they make decisions nor do they follow any formal decision rules or procedures. Many of the managers replied to the questionnaire with such comments as: "I don't think businessmen know …
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Instability of Decision Tree Classification Algorithms
Empirical results illustrate that the trees constructed by the proposed algorithm are more stable, noise-tolerant, informative, expressive, and concise. The proposed sensitivity measure can be used as a metric to evaluate the stability of splitting predicates. The tree sensitivity is an indicator …
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Elliptical cost-sensitive decision tree algorithm - ECSDT
… cost-sensitive learning has focused on inducing decision trees, which are one of the most common and widely used classification methods, due to the simplicity of constructing them, their transparency and comprehensibility. A review of the literature shows that inducing nonlinear multiclass …
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Decision tree classifiers for incident call data sets
… records were used for training decision tree classification algorithms using Waikato Environment for Knowledge Analysis (WEKA) software. Finally, the records incorrectly assigned a subject by human operators were used for testing. The J48 algorithm gave the best performance and …
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Nonfatal Strangulation And Intimate Partner Violence Decision Tree Protocol
… Strangulation and Intimate Partner Violence Decision Tree Protocol Problem and Context Nonfatal strangulation (NFS) is the ultimate form of power and control in intimate partner violence (IPV). Native American women are at an increased risk of intimate partner violence. Symptoms of …
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Analyzing biological expression data based on decision tree induction
… and exploitation of one basic technique: decision trees. The concept of comparing sets of decision trees is developed. This method offers the possibility of identifying significant thresholds in continuous or discrete valued attributes through their corresponding set of decision trees. …
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Decision tree rule-based feature selection for imbalanced data
… a feature selection method that is based on a decision tree rule and weighted Gini index. The effectiveness of the proposed methods is verified by classifying a dataset from Santander Bank and two datasets from UCI machine learning repository. The results show that our methods can achieve …
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The application of fuzzy decision tree for voltage collapse analysis
… techniques with fuzzy logic in creating a fuzzy decision tree (FDT) tool for voltage collapse analysis. The algorithm utilises static power flow solution as data sets in partitioning the power system into strong and weak areas. From several test results and algorithm development, this research …
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Fuzzy Decision Tree-based Inference System for Liver Disease Diagnosis
… interrelated variables. Given this situation, a decision support system, which can help doctors come up with a more reliable diagnosis, can have a lot of potential.</p> <p>Decision trees are used in data mining for classification and regression. They are simple to understand and interpret as they …
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A Decision Tree Approach To The Assessment Of Posttraumatic Stress Disorder
… on the clinician administered PTSD scale (caps). Decision tree analysis was utilized to identify a subset of predictor variables within the 17 caps symptom criteria variables that were most predictive of a diagnosis of posttraumatic stress disorder (PTSD). The algorithm-driven sequence of …
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A replication of a cost-sensitive decision tree approach for fraud detection
… class. Sahin et al. [7] define a cost-sensitive decision tree algorithm, and this study attempts to both replicate and build on their findings. The results presented here do not support the hypothesis that the cost-sensitive algorithm provides an improvement over traditional decision tree …
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Decision tree application to satellite measurement and analysis of exospheric neutral densities
… and Earth’s magnetosphere. We have developed a decision tree-based machine learning model that has the capability to make predictions about various physical parameters of the Earth’s magnetosphere. The training data set is provided by the Cluster II mission from ESA, courtesy of Dr. Elena …
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Co-Location Decision Tree for Enhancing Decision-Making of Pavement Maintenance and Rehabilitation
… development of theory and algorithm for a new decision tree induction method, called co-location-based decision tree (CL-DT.) This method will enhance the decision-making abilities of pavement maintenance personnel and their rehabilitation strategies. This idea stems from shortcomings in …
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Gradient Boosted Decision Tree Application to Muon Identification in the KLM at Belle II
We present the results of applying a Fast Boosted Decision Tree (FBDT) algorithm to the task of distinguishing muons from pions in K-Long and Muon (KLM) detector of the Belle II experiment. Performance was evaluated over a momentum range of 0.6 < p < 5.0 GeV/c by plotting Receiver Operating …
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Urban land cover mapping using medium spatial resolution satellite imageries: effectiveness of Decision Tree Classifier
… spatial resolution Landsat data processing; Decision Tree classifier was investigated as classification techniques, thus it allows to extract rules that can be later applied to different scenes. In particular, the aim was to evaluate which steps to perform in order to obtain a good …
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A decision tree framework for assessing status of exploited marine ecosystems under changing environmental conditions
… The objective of this study was to develop a decision tree framework to assess the status of exploited marine ecosystems, which could be successfully applied to numerous ecosystems and guide decision support under changing conditions. This work was based on that of the IndiSeas project, which …
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Developing A Decision Tree To Address Behavioral And Psychological Symptoms Of Dementia In The Primary Care Setting
<p>AbstractDeveloping a Decision Tree to Address Behavioral and Psychological Symptoms of Dementia in the Primary Care Setting There are 55 million people living with dementia worldwide. In the United States, there are approximately 7.2 million people living with Alzheimer’s dementia and these …
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A microbiological decision tree approach for performing a hazard analysis and its relationship to microbiological risk analysis
… and applying Principle #1 was developed. A decision tree approach is proposed that provides a logical framework for deciding what hazards are to be included in the HACCP plan and thus controlled in the food process. Additionally, guidance on what considerations and information are required …
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