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Tratamento de imprecisão na geração de árvores de decisão
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2016-03-03)
Inductive Decision Trees (DT) are mechanisms based on the symbolic paradigm of machine learning which main characteristics are easy interpretability and low computational cost. Though they are widely used, the DTs can ...
Decision tree induction using a fast splitting attribute selection for large datasets
(Elsevier Ltd., 2011)
Characterising the Personality of the Public Safety Offender and Non-offender using Decision Trees: The Case of Colombia
(Wiley Blackwell, 2016)
The aim of this paper was to create a decision tree (DT) to identify personality profiles of offenders against public safety. A technique meeting this requirement was proposed that uses the C4.5 algorithm to derive decision ...
Classification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithm
(2009-11-09)
This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The ...
Classification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithm
(2009-11-09)
This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The ...
Early Estimation of Tomato Yield by Decision Tree Ensembles
(2022)
Crop yield forecasting allows farmers to make decisions in advance to improve farm management and logistics during and after harvest. In this sense, crop yield potential maps are an asset for farmers making decisions about ...
Pattern recognition in trunk images based on co-occurrence descriptors: a proposal applied to tree species identification
(Ieee, 2015-01-01)
Tree species identification is required for many applications. However, current techniques are dependent on the presence of morphological structures such as leaves, which restricts its use in certain situations and seasons. ...
Pattern recognition in trunk images based on co-occurrence descriptors: A proposal applied to tree species identification
(2016-03-17)
Tree species identification is required for many applications. However, current techniques are dependent on the presence of morphological structures such as leaves, which restricts its use in certain situations and seasons. ...
Classifying Drivers' Behavior in Public Transport using Inertial Measurement Units and Decision Trees
(IEEE, 2018)
Santiago's public transit system uses a Passenger Service Quality Index (ICA) to measure the quality of service offered by buses companies. Parts of this index are related to bus driver's behavior, and are obtained in a ...
Using data mining techniques to determine whether to outsource medical equipment maintenance tasks in real contexts
The purpose of this study was to determine whether the maintenance of medical equipment should be outsourced (or not). For this, we used data mining techniques called decision trees. We (1) collected 2364 maintenance works ...