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Classification of Pathological Speech in Speakers with Cleft Palate: Decision Tree Approach
Our work concerns the automatic classification of Pathological Speech (PP) using the Decision Trees (DT) method. The specific goal is the automatic...
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Adapting video-based programming instruction: An empirical study using a decision tree learning model
The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These...
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Application of the Decision Tree in the Business Process
Decision tree, as a decision-making method in conditions of risk and uncertainty, represents a practical graphical-visualization tool for...
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Multi-client Private Decision Tree Classification Using Threshold Fully Homomorphic Encryption
Decision tree is a widely-used machine-learning classifier known for its simplicity and effectiveness. Recent works mainly focus on how to privately...
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Feature Selection Based on a Decision Tree Genetic Algorithm
The feature selection problem has become a key undertaking within machine learning. For classification problems, it is known to reduce the...
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Privacy-Preserving Decision Tree Classification Protocol Based on Bitwise Comparison
Decision tree model is widely used in telemedicine, credit evaluation and other fields because of its high efficiency and ease of use. Companies can...
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A novel rule generation and activation method for extended belief rule-based system based on improved decision tree
Among many classifiers applied to classification problems, the extended belief rule-based (EBRB) system is a powerful tool with the ability to handle...
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Feature-ranked self-growing forest: a tree ensemble based on structure diversity for classification and regression
Tree ensemble algorithms, such as random forest (RF), are some of the most widely applied methods in machine learning. However, an important...
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Decision Tree Regression Analysis of Proposed Metric Suite for Software Fault Prediction
The objective of this study is to identify a metric suite for software fault prediction that can solve challenges related to reliability, quality,...
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DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation
The rapid growth of Artificial Intelligence (AI) algorithms has created the opportunity to solve complex problems such as Internet of Things (IoT)...
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Machine learning modelling of dew point pressure in gas condensate reservoirs: application of decision tree-based models
In gas condensate reservoirs, the dew point pressure ( P Dew ) plays a significant role in gas and liquid assessment, reservoir characterisation,...
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An efficient computer-aided diagnosis model for classifying melanoma cancer using fuzzy-ID3-pvalue decision tree algorithm
Visual observation and dermoscopic analysis are the most common methods of diagnosing skin cancer. In advanced stages, melanomas spread faster and...
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Human activity classification using Decision Tree and Naïve Bayes classifiers
With rapid development in wireless sensor networks and continuous improvements in develo** artificial intelligence-based scientific solutions, the...
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Data Mining of Garment Pattern Based on Decision Tree Algorithm
With the development of economy, society and culture, the traditional tailor-made clothing has been unable to meet people’s needs for...
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Design of Decision Tree-Based Face Emotion Interaction in Contextual Game
With the benefits of contextual games and the applications of decision tree, well-designed games can simulate an interactive learning environment...
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Research on Employment Analysis of College Graduates Based on Decision Tree Algorithm
Because a considerable number of college graduates employment situation is bad, and in trouble, so the decision tree algorithm research to help deal...
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Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree
Dengue fever is a disease that has been outbreak worldwide in the last few years. Dengue is a fatal disease; sometimes, it may cause life-threatening...
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Mixed Integer Linear Programming-Based Methods for the Optimal Time-Constrained Cost-Sensitive Decision Tree
Cost management and completion timelines are common classification problem requirements. For instance, a blood test requires human and equipment...
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Application of Classification Mining Technology Based on Decision Tree in Student Resource Management
This paper discusses mining method based on decision tree in student resource management. With the increase of college enrollment, the number of...
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Fair tree classifier using strong demographic parity
When dealing with sensitive data in automated data-driven decision-making, an important concern is to learn predictors with high performance towards...
