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Alternating decision tree

Known as: ADT, ADTree 
An alternating decision tree (ADTree) is a machine learning method for classification. It generalizes decision trees and has connections to boosting… 
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Related topics

Related topics

7 relations
Boosting (machine learning)BrownBoostDecision stumpDecision tree learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
An Advanced Approach for Choosing Security Patterns and Checking their Implementation
This paper tackles the problems of generating concrete test cases for testing whether an application is vulnerable to attacks… 
2019
2019
Enkephalon - Technological Platform to Support the Diagnosis of Alzheimer's Disease Through the Analysis of Resonance Images Using Data Mining Techniques
Dementia can be considered as a decrease in the cognitive function of the person. The main diseases that appear are Alzheimer and… 
Review
2016
Review
2016
A Comparison And Prediction Analysis For The Diagnosis Of Parkinson Disease Using Data Mining Techniques On Voice Datasets
After Alzheimer‘s, the most dangerous neurological disorder is Parkinson Disease (PD). The problem with these disorders are once… 
2016
2016
Predictive modeling of the first year evaluation based on demographics data: Case study students of Telkom University, Indonesia
Student academic failure prediction is still interesting topics in the Educational Data Mining. One of the challenges is how to… 
2014
2014
A semantic-based approach for representing successful graduate predictive rules
This paper seeks to identify the factors of university students in major of Computer Science at Thaksin University, Thailand that… 
Review
2014
Review
2014
Diagnosis of Parkinson Disease Using Machine Learning and Data Mining Systems from Voice Dataset
Parkinson’s disease is one of the most painful, dangerous and non curable diseases which occurs at older ages (mostly above 50… 
2012
2012
A fast calculation of metric scores for learning Bayesian network
Frequent counting is a very so often required operation in machine learning algorithms. A typical machine learning task, learning… 
2012
2012
Comparison of Classification Algorithms using WEKA on Various Datasets
: Data mining is a step in the knowledge discovery process consisting of data mining algorithms that used to finds patterns or… 
2010
2010
Complex feature alternating decision tree
Complex number features are ubiquitous in many engineering and scientific applications. Many traditional classification… 
2008
2008
Adapting ADtrees for High Arity Features
ADtrees, a data structure useful for caching sufficient statistics, have been successfully adapted to grow lazily when memory is… 
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