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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

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Boosting (machine learning)BrownBoostDecision stumpDecision tree learning

Papers overview

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2018
2018
Performance evaluation of Adtree, Functional Tree and lMT Classifiers with CFS Subset evaluator for Intelligent heart disease Prediction
2017
2017
Prototyping and Analyzing the Approach of Efficient Mining of Educational Data
MCA Department, VBS Purvanchal University, Jaunpur U.P. India 222003 Data Mining is among the most important research domains in… 
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
Solución tecnológica para la detección precoz automática de trastornos del espectro autista en niños basada en serious games y tecnología eytracking
En los ultimos anos, el Trastorno del Espectro Autista (TEA) ha generado un gran interes en el mundo cientifico, logrando un… 
Review
2016
Review
2016
Predicting Students’ Performance Using Classification Techniques in Data Mining
Role of education is very critical for the development of any country. So it is the responsibility of each and every person to do… 
2013
2013
Attack-­‐defense-­‐tree Driven Creation of Protection Profiles Master En Management De La Sécurité Des Systèmes D'information 2012-2013 Professional Project Final Report Déclaration D'honnêteté
In this work, we propose a new approach that aims at automating the generation of the protection profile documents from an attack… 
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… 
2011
2011
Early detection of malicious web content with applied machine learning
This thesis explores the use of applied machine learning techniques to augment traditional methods of identifying and preventing… 
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… 
1999
1999
Margins and combined classifiers