Decision Tree Method for the Classification of Chemical Pollutants:  Incorporation of Across-Chemical Variability and Within-Chemical Uncertainty

1998 ◽  
Vol 32 (21) ◽  
pp. 3396-3404 ◽  
Author(s):  
Joseph N. S. Eisenberg ◽  
Thomas E. McKone
Keyword(s):  
Decision Tree ◽  
Chemical Pollutants ◽  
Chemical Variability ◽  
Decision Tree Method ◽  
Tree Method

scholarly journals Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun

2020 ◽  
Vol 1 (2) ◽  
pp. 68-72
Author(s):  
Hananda Hafizan ◽  
Anggita Nadia Putri
Keyword(s):  
Decision Tree ◽  
Nutritional Status ◽  
Public Health Service ◽  
Children Under Five ◽  
Under Five ◽  
C4.5 Algorithm ◽  
Decision Tree Method ◽  
Nutritional Status Of Children ◽  
Tree Method

One of the health problems in Indonesia is the problem of nutritional status of children under five years. Cases of malnutrition are not only a family problem, but also a state problem. The nutritional status of children under five years can be assessed by measuring the human body known as "Anthropometry". To be able to carry out anthropometric examinations and measurements in order to find out the nutritional status of children under five, they can go to public health service places such as the Posyandu. We went to the KENANGA Posyandu located in Wonorejo, Kerasaan sub-district, Simalungun district. The purpose of this study will be to test the model for the classification of nutritional status of children under the WHO-2005 reference standard by utilizing data mining techniques using the Decision Tree method C4.5 Algorithm.

scholarly journals Fault Classification and Fault Zone Identification in a Thyristor Controlled Series Compensator Based Transmission Line by using Decision Tree

2020 ◽  
Vol 9 (3) ◽  
pp. 1502-1506
Keyword(s):  
Decision Tree ◽  
Simulated Data ◽  
Fault Classification ◽  
Network Systems ◽  
Thyristor Controlled Series Capacitor ◽  
Decision Tree Method ◽  
Thyristor Controlled Series Compensator ◽  
Types Of Faults ◽  
Tree Method

A new method has been introduced for classification of fault and to identify zone of fault in Thyristor Controlled Series Capacitor based line by utilizing Decision Tree method. PSACD/EMTDC software is used in this paper for the simulation of TCSC. Voltage and current samples after fault are used in this method as input against predicted output vectors for zone identification of fault. Decision Tree based classification algorithm also used to classify all ten types of faults in the TCSC based line. This method is being tested on simulated data and the results indicate that this method can classify different types of faults and also identify zone of fault more accurately than any neural network systems in a TCSC based line.

Classifying Innovative Activities Using Decision Tree and Gini Index

2018 ◽  
Vol 15 (03) ◽  
pp. 1850025
Author(s):  
Hassan Arabshahi ◽  
Hamed Fazlollahtabar
Keyword(s):  
Decision Tree ◽  
Gini Index ◽  
Production Systems ◽  
Sources Of Information ◽  
Rule Mining ◽  
Mining Technique ◽  
Calculated Risk ◽  
Decision Tree Method ◽  
Tree Method

This paper proposes a framework for classification of innovative activities in production systems based on corresponding calculated risk intensity using decision tree method. A three-step process is developed. The basis of the framework is the innovative activities collected from the literature. These activities are collected from the related literature and are classified by decision tree based on Gini Index. The configured tree is then used to extract and compose rules applying rule mining technique. The resulting rules can be useful sources of information for managers, investors and predictors of innovation domain to take the appropriate approaches for innovation risk management and innovation investment.

scholarly journals Classification of Building Damage Triggered by Earthquakes Using Decision Tree

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Shaodan Li ◽  
Hong Tang
Keyword(s):  
Decision Tree ◽  
Satellite Images ◽  
Field Survey ◽  
Building Damage ◽  
Multiple Source ◽  
Decision Tree Method ◽  
Collapsed Buildings ◽  
Uav Images ◽  
Tree Method

Field survey is a labour-intensive way to objectively evaluate the grade of building damage triggered by earthquakes. In this paper, we present a decision-tree-based approach to classify the type of building damage by using multiple-source remote sensing from both pre- and postearthquakes. Specifically, the boundary of buildings is delineated from preearthquake multiple-source satellite images using an unsupervised learning method. Then, building damage is classified into four types using decision tree method from postearthquake UAV images, that is, basically intact buildings, slightly damaged buildings, partially collapsed buildings, and completely collapsed buildings. Furthermore, the slightly damaged buildings are determined by the detected roof-holes using joint color and height features. Two experimental areas from Wenchuan and Ya’an earthquakes are used to verify the proposed method.

scholarly journals Klasifikasi Penentuan Jenis Obat Menggunakan Algoritma Decision Tree

2021 ◽  
Vol 7 (3) ◽  
pp. 53-60
Author(s):  
Rika Nursyahfitri ◽  
Alfanda Novebrian Maharadja ◽  
Riva Arsyad Farissa ◽  
Yuyun Umaidah
Keyword(s):  
Decision Tree ◽  
Medical Records ◽  
Training Data ◽  
Accuracy Rate ◽  
Data Set ◽  
Drug Determination ◽  
Decision Tree Method ◽  
The Relationship ◽  
Tree Method

Classification is a technique that can be used for prediction, where the predicted value is a label. The classification of drug determination aims to predict the type of drug that is accurate for patients with the dataset that has been obtained. The data used in this study are data from the patient's medical records based on the symptoms of the disease but the type of medicine is not yet known. The data set used comes from kaggle.com which is then presented in the form of a decision tree with a mathematical model. To complete this research, a classification method is used in data mining, namely the decision tree. The decision tree method is used to find the relationship between a number of candidate variables, so that it becomes a classification target variable by dividing the data into 70% data testing and 30% training data. The results obtained from this study are in the form of rules and an accuracy rate of 96.36% as well as the recall and precision values ​​of each type of drug using a multiclass configuration matrix.

scholarly journals АЛГОРИТМ КЛАСИФІКАЦІЇ ПОЛІТРАВМ МЕТОДОМ ІНДУКЦІЇ ДЕРЕВА РІШЕНЬ

2013 ◽  
Author(s):  
R. M. Borys ◽  
V. P. Martsenyuk
Keyword(s):  
Decision Tree ◽  
Biochemical Parameters ◽  
Information Gain ◽  
Selection Algorithm ◽  
Work Program ◽  
Attribute Information ◽  
Decision Tree Method ◽  
Tree Method

<p class="a0">The work program is developed and implemented induction decision tree method for classification of polytrauma based on a number of biochemical parameters.</p><p class="a0">The selection algorithm     uses the value of the attribute information gain. The project was implemented in the  medium</p><p class="a0">Netbeans Java-based classes.</p>

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