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para decision » para decisiones (Expander búsqueda), marca decision (Expander búsqueda), para emision (Expander búsqueda)
1
artículo
Publicado 2023
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This article details the process that was carried out for the salary forecast in a database of a census given in 1996, where the Python programming language was used, for the analysis of the data of the dataset the Google Colab server was used to execute the algorithms in the cloud, since the team considered that the speed of data analysis in Google Colab is faster. One of the data mining techniques was also used to classify the variables using decision trees that have the ability to graphically represent several alternative solutions in order to determine the most effective courses/routes of action for the classification of the obtainment. of a person's salary.
2
artículo
Computer security is a very important area in any system that has an internet connection because there are fraudulent websites that can carry out criminal actions towards a person, organization or other entity. Therefore, it is necessary to be able to detect which websites are fraudulent before being able to enter them, for this an implementation was developed through Decision Trees with the Python language to detect and classify them as Legitimate, Suspicious and Fraudulent through 1353 cases that they rank websites.
3
artículo
Publicado 2019
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Purpose – Personal bankruptcy is on the rise in Malaysia. The Insolvency Department of Malaysia reported that personal bankruptcy has increased since 2007 and the total accumulated personal bankruptcy cases stood at 131282 in 2014. This is indeed an alarming Issue because the increasing number of personal bankruptcy cases will have a negative impact on the Malaysian economy as well as on the society. From the aspect of individual’s personal economy bankruptcy minimizes their chances of securing a job. Apart from that their account will be frozen lost control on their assets and properties andnot allowed to start any business nor be a part of any company’s management. Bankrupts also will be denied from any loan application restricted from travelling overseas and cannot act as a guarantor. This paper aims to investigate this problem by developing the personal bankruptcy prediction mo...
4
artículo
Publicado 2023
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Telemarketing is an interactive direct marketing technique in which a telemarketing agent solicits potential customers over the phone to make a sale of merchandise or a service. One of the great problems of telemarketing is to specify the list of clients that presents a greater probability of buying the product that is offered. In this article, we propose a personalized decision support system that can automatically predict the decision of the target audience after making a telemarketing call, in order to increase the effectiveness of direct advertising campaigns and consequently reduce the cost and cost. campaign time. The artificial intelligence method used in this work is the decision tree evaluated with the metrics of precision, accuracy and completeness. After applying the artificial intelligence method we obtain an accuracy, precision and completeness greater than 80%. The conclusi...
5
artículo
Obesity is a public health problem that affects the world population, that is why the present work is oriented to present a computer solution for the estimation and prediction of obesity levels, making it possible for a person to know their current physical condition for this we used a dataset of people with obesity from different countries like Peru, Mexico and Colombia based on their eating habits and their physical condition, creating a decision tree with all these data.
6
artículo
Publicado 2022
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Anemia is one of the most common problems in children who are not adequately fed. Iron deficiency harms minors as it prevents them from carrying out their daily activities due to extreme tiredness and fatigue. Due to this situation, the Peruvian State has tried to reduce the level of prevalence of anemia at the national level with medical campaigns in different regions; despite this, localities such as Caylloma in Arequipa still maintain a high percentage of anemic infants, for which an implementation through Decision Trees with the python language to be able to determine if a child has anemia based on the data provided.
7
artículo
Application of decision trees for the identification of adaptability of students in online education
Publicado 2023
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Due to the global pandemic by Covid-19, online education was established in student learning. However, the effectiveness of this modality, as well as the adaptability of the students, is something that may depend on some factors. In this sense, this research article presents a description of the use of decision trees to determine the adaptability of students in online education, using a dataset of 1205 records with data such as the type of connection and internet, device, condition. financial, among other important data. Likewise, tools such as Google Colab, Python and popular libraries were used in similar works of Artificial Intelligence and Machine Learning.
8
artículo
Various studies have proven that the levels of violence in video games can negatively influence the development of children, especially in adolescence and that is why care must be taken that the classification is appropriate according to the content present. For the analysis, the ESRB classification was used, which contains 7 different categories, together with the implementation of a decision tree model, which is a data mining technique capable of graphically representing the relationship between the variables. The results showed that the precision level for a level 6 tree does not exceed the minimum required.
9
artículo
This article presents a description of the decision trees for determining whether a room is occupied or not. In this research it is empirically demonstrated that it is possible to determine whether a room is occupied or not, using the variables temperature, humidity, luminosity, CO2 level and the humidity ratio, by using decision trees with the SKLEARN libraries in the language Python.
10
artículo
Publicado 2022
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The objective of this work was to use the decision tree technique to define a model capable of predicting water potability. To evaluate the performance of the decision tree classification, a dataset extracted from Kaggle was used, which has 3276 water samples divided by the potability variable. Applying the Pandas and Scikit Learn libraries, a model based on a decision tree evaluated with the metrics of precision, accuracy, completeness, and F1 score was defined, achieving 0.77, 0.80, 0.85, and 0.81, respectively.
11
artículo
Publicado 2021
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The characterization and delimitation of the existing vegetation cover in a given geographic area is of vital importance for an adequate management of natural resources. In this sense, this research proposes a methodology to delimit the types of vegetation cover in the Quillcay sub-basin. The study area is located in the districts of Huaraz and Independencia, province of Huaraz, Ancash; in the middle western slope of the Cordillera Blanca and Santa river basin. The delimitation of the vegetation cover began with the identification of the dominant vegetation cover types (Andean grassland, forest, wetland and shrub thicket); then, the geographic characteristics (slope and altitude) were defined for each type of vegetation cover. Subsequently, layers were generated with the Spectral Angle Mapper (SAM) classifier and the calculation of the Normalized Difference Moisture Index (NDMI). Finally...
12
artículo
Publicado 2021
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The characterization and delimitation of the existing vegetation cover in a given geographic area is of vital importance for an adequate management of natural resources. In this sense, this research proposes a methodology to delimit the types of vegetation cover in the Quillcay sub-basin. The study area is located in the districts of Huaraz and Independencia, province of Huaraz, Ancash; in the middle western slope of the Cordillera Blanca and Santa river basin. The delimitation of the vegetation cover began with the identification of the dominant vegetation cover types (Andean grassland, forest, wetland and shrub thicket); then, the geographic characteristics (slope and altitude) were defined for each type of vegetation cover. Subsequently, layers were generated with the Spectral Angle Mapper (SAM) classifier and the calculation of the Normalized Difference Moisture Index (NDMI). Finally...
13
artículo
Publicado 2021
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En el presente artículo se ha desarrollado teniendo en cuenta las directrices para la Revisión Sistemática de la Literatura (SLR), se centra en lo fundamental que es la elección de un seguro de pensiones, teniendo en cuenta que existen dos tipos sistemas: El Sistema Privado de Pensiones (AFP), en el que el trabajador recibe lo que ha cobrado a lo largo del período que ha trabajado como una cuenta de ahorro personal; y el Seguro Nacional de Pensiones (ONP), que es un organismo público que asigna el dinero aportado por los trabajadores (fondo común) y se desembolsa como concepto de pensiones a los jubilados. Teniendo en cuenta el problema de la falta de información sobre el Seguro de Pensiones que brindan tanto las entidades públicas como privadas, se decidió construir un algoritmo de árbol decisión para de acuerdo a una cierta información brindada se pueda lograr una toma de ...
14
artículo
Publicado 2019
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In this paper, we present a real in-streaming case of learning about how to program with the z-tree software to design experiments on economic decision making for the members of the NECE Research Unit in Business Sciences, in Portugal. This real case of in-streaming-learning was created to respond the need of a teaching method based on new technologies for people who could be in different parts of the world and with different time availability, but they also need to learn to program z-tree to use it in their experiments. Researchers and students learned the Ztree software applications in business research and economic decision making. Specifically, they learned: What is z-Tree software?; What is z-Tree software for?; What advantages does it have? and What applications can you obtain in business research?; How to get it for free?; Technical requirements; The structure of z-Tree software, ...
15
artículo
Publicado 2018
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Objective: To model by statistical means the risk levels of refraining to undergo a papanicolaou test among Chilean women according to sociodemographic variables. Materials and methods: National Socioeconomic Characterization Survey (CASEN). Sample of 73,324 cases, according to CASEN’s data. Modeling by decision trees to establish the profile of women who refrain from undergoing a papanicolaou test, and then analyze the reasons for that decision. Results: The risk of refraining to undergo a papanicolaou test varies considerably and depends on variables such as other cancer preventive tests (not undergoing a mammography), adulthood stage (late phase), and marital status. The traditional lack of information and access is replaced by personal reasons as the frequent excuse for not undergoing a papanicolaou test on a continuous basis. Perception of unusefulness and lack of time cause this...
16
tesis de grado
Publicado 2025
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El Gobierno Regional del Callao enfrenta una grave crisis de seguridad con una alta incidencia de delitos y una percepción de inseguridad generalizada entre la población. Este artículo propone un sistema de predicción avanzado basado en el algoritmo Gradient Boosted Decision Trees para identificar y predecir puntos de alta actividad delictiva. La metodología de investigación comprende tres fases: planificación, desarrollo y validación. La implementación del modelo busca optimizar la asignación de recursos, mejorar la prevención del delito y fortalecer la respuesta a emergencias. La investigación incluye un exhaustivo estado del arte que justifica la relevancia del estudio y establece una base sólida para el análisis predictivo del crimen en el Callao. Este enfoque pretende no solo mejorar la seguridad, sino también fomentar la colaboración entre las autoridades locales y ...
17
tesis de grado
Publicado 2022
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Esta investigación lleva como título “ANÁLISIS COMPARATIVO DE ADAPTIVE BOOSTING Y DECISION TREE PARA PREDECIR LA MOROSIDAD DE CUOTAS SOCIALES DEL COLEGIO DE INGENIEROS DEL PERÚ CONSEJO DEPARTAMENTAL LAMBAYEQUE” tuvo como finalidad emplear y comparar dos algoritmos de predicción, las cuales fueron Adaptive Boosting (AdaBoost) y Árbol de Decisiones (Decision Tree), para llegar a la conclusión de conocer que algoritmo es más eficiente para predecir o pronosticar la morosidad. El interés por la presente investigación surge porque hasta el momento, si bien hay estudios parecidos al presente trabajo, los resultados finales no son iguales para todos, es decir, en cada uno de los estudios, la técnica que mejor se comporta siempre depende de los datos y por ende al tipo de estudio que se esta realizando, entonces surge así el interés de saber cual de ambas técnicas se comportar...
18
artículo
The multidisciplinary geometallurgical modeling of the value chain is dependent on the areas of geology, mining and metallurgy, for this reason it is of the utmost importance in estimating the resources of the deposit. The objective of this study is to determine a methodology for modeling non-additive variables such as the work index. The methodology is based on the fact that there are geometallurgical variables whose average values do not correspond to the arithmetic mean of the domain, this is the case of metallurgical hardness variables. To achieve this objective, the database of a 100 linear km drilling campaign was used for the generation of comminution metallurgical composites, geochemical analysis and geological logging. The synthetic domain modeling was developed based on the redefinition of the alteration geochemical domains through the use of decision trees and the work index m...
19
tesis de grado
Publicado 2015
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En la actualidad, las empresas manejan una gran cantidad de información, el cual era inimaginable años atrás, la capacidad de recolectarla es muy impresionante. En consecuencia, para varias empresas esta información se ha convertido en un tema difícil de manejar. Diariamente, las empresas sea del sector, tipo o tamaño que sea, toman decisiones, las cuales la mayoría son decisiones estratégicas que pueden afectar el correcto funcionamiento de la empresa. Es aquí, donde ingresa una de las herramientas más mencionadas en el área de TI: Business Intelligence, este término se refiere al uso de datos en una empresa para facilitar la toma de decisiones, explotar su información, y mejor aún, plantear o predecir escenarios a futuro. El presente trabajo permitirá al área de Marketing de la empresa Iasacorp International, obtener información sobre el comportamiento y hábitos de co...
20
artículo
Application of Artificial Intelligence techniques for the differentiation of the socioeconomic level
Publicado 2024
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In this project, a differentiation is made between people through different parameters such as age, sex, educational level, among others, to try to calculate how much their salary could rise. This problem is important to solve because then a person could predict her future income through the decisions she would make in the present, such as how much education she should receive and when to start working to gain experience. Our procedure to solve this problem has been two statistical analyses, the first linear regression and a decision tree to be able to make a comparison between them, we have tested them using tools such as Colab (Python) and a dataset. Our population for our work was 32,000 records (rows). The results were that through the decision tree there was a precision of 0.88 and an accuracy of 0.82. And with respect to the logistic regression we obtained a precision of 0.80 when ...
