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making process » learning process (Expander búsqueda), teaching process (Expander búsqueda)
data making » data mining (Expander búsqueda), data sharing (Expander búsqueda), data machine (Expander búsqueda)
making process » learning process (Expander búsqueda), teaching process (Expander búsqueda)
data making » data mining (Expander búsqueda), data sharing (Expander búsqueda), data machine (Expander búsqueda)
1
artículo
Publicado 2000
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Information has become increasingly important to us. The present study shows an introduction to the concept of data as a wing Mining tool that many businesses and organizations use to improve their decision making processes.
2
artículo
Publicado 2000
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Information has become increasingly important to us. The present study shows an introduction to the concept of data as a wing Mining tool that many businesses and organizations use to improve their decision making processes.
3
artículo
Technological advances have allowed to collect and store large volumes of data over the years. Besides, it is significant that today's applications have high performance and can analyze these large datasets effectively. Today, it remains a challenge for data mining to make its algorithms and applications equally efficient in the need of increasing data size and dimensionality [1]. To achieve this goal, many applications rely on parallelism, because it is an area that allows the reduction of cost depending on the execution time of the algorithms because it takes advantage of the characteristics of current computer architectures to run several processes concurrently [2]. This paper proposes a parallel version of the FuzzyPred algorithm based on the amount of data that can be processed within each of the processing threads, synchronously and independently.
4
artículo
Business intelligence provides significant assistance in decision-making by offering a comprehensive overview of the business and its workflow, presenting various alternatives to decision-makers. The research aimed to streamline decision-making within the company through the implementation of a Data Warehouse. The Kimball methodology was employed in the process, utilizing Atoti Apache Airflow and PowerBI software, which were fed with transactional data stored in a MariaDB database. Statistical analysis was conducted using R software within the RStudio environment. The study population consisted of 5 employees for the user satisfaction indicator, employing a convenience non-probabilistic sampling method, while for the indicators of report generation time and costs, the population comprised 360 management reports, sampled using a simple probabilistic method, resulting in a sample of 186 ma...
5
artículo
Publicado 2024
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This study presents Datalyzer, a system designed for data extraction, visualization, and prediction in the mining sector using advanced NLP and machine learning, specifically GPT-3.S Turbo. The system enhances operational efficiency through rigorous data preprocessing and specialized fine-tuning, validated on a simulated mining dataset. Results show significant improvements: data extraction time reduced by 94 % and visualization time by 97.6%. These improvements indicate a transformation in efficiency, usability, and user satisfaction. Despite limitations in data variability and complexity, this pioneering approach highlights the potential of NLP and machine learning in modernizing the mining industry and supporting data-driven decision-making.
6
artículo
Publicado 2016
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Objective: The purposeofthis thesis was to determine the influence of corporate financial education on decision - making in olive - processing entrepreneurs and derivatives Region Tacna, 2016. Methodology: The type of research is pure, because it is oriented to achieve a new knowledge in the field of finance. The present research responds to an explanatory causal descriptive research design. The population is conformed by all the managers of processing companies of Olive and Derivatives of the Agro Industrial Sector of the region of Tacna. The sample is census and takes the 15 managers of processing companies of Olive and Derivatives of the Agro Industrial Sector of the Region of Tacna that are registered in the Chamber of Commerce of Tacna. The technique for the collection of the data for the present investigation was the survey. The instrument that was applied was the questionnaire wit...
7
artículo
Publicado 2016
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Objective: The purposeofthis thesis was to determine the influence of corporate financial education on decision - making in olive - processing entrepreneurs and derivatives Region Tacna, 2016. Methodology: The type of research is pure, because it is oriented to achieve a new knowledge in the field of finance. The present research responds to an explanatory causal descriptive research design. The population is conformed by all the managers of processing companies of Olive and Derivatives of the Agro Industrial Sector of the region of Tacna. The sample is census and takes the 15 managers of processing companies of Olive and Derivatives of the Agro Industrial Sector of the Region of Tacna that are registered in the Chamber of Commerce of Tacna. The technique for the collection of the data for the present investigation was the survey. The instrument that was applied was the questionnaire wit...
8
artículo
Publicado 2016
Enlace
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Objective: The purposeofthis thesis was to determine the influence of corporate financial education on decision - making in olive - processing entrepreneurs and derivatives Region Tacna, 2016. Methodology: The type of research is pure, because it is oriented to achieve a new knowledge in the field of finance. The present research responds to an explanatory causal descriptive research design. The population is conformed by all the managers of processing companies of Olive and Derivatives of the Agro Industrial Sector of the region of Tacna. The sample is census and takes the 15 managers of processing companies of Olive and Derivatives of the Agro Industrial Sector of the Region of Tacna that are registered in the Chamber of Commerce of Tacna. The technique for the collection of the data for the present investigation was the survey. The instrument that was applied was the questionnaire wit...
9
artículo
Publicado 2025
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The main goal of this research is to demonstrate that the use of innovative technology like business intelligence (BI) in a specific type of business significantly impacts their sales processes, enhancing decision-making, promotional strategies, and consequently customer loyalty and sales growth. The case study is a manufacturing business located in Lima, Peru. The information requirements of this business were analyzed, and a data mart model was created using the Kimball methodology. This multidimensional model enabled the comparison of client sales trends to propose new promotions and marketing strategies. The data analysis used to evaluate the results included hypothesis testing, analysis of employee responses to questionnaires to measure the impact of technology use on sales processes, and data reviews to assess sales increases both before and after the implementation of this technol...
10
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
11
artículo
Publicado 2019
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This article presents a methodology that applies natural language processing and classification algorithms by using data mining techniques, and incorporating procedures for validation and verification of significance. This is conducted according to the analysis and selection of data and results based on quality statistical analysis, which guarantees the effectiveness percentage in knowledge construction. The analysis of computer incidents within an educational institution and a standardized database of historical computer incidents collected by the Service Desk area is used as case study. Such area is linked to all information technology processes and focuses on the support requirements for the performance of employee activities. As long as users’ requirements are not fulfilled in a timely manner, the impact of incidents may give rise to work problems at different levels, making it d...
12
tesis de grado
La cultura data-driven consiste básicamente en tomar decisiones basadas en datos, siendo utilizada hoy más que nunca por diversas organizaciones que buscan mejorar sus procesos con el fin de atender mejor a sus clientes y consumidores. Sin embargo, muchas empresas se basan en acciones sin fundamentos y acaban perdiendo grandes oportunidades al no saber aprovechar al máximo el potencial existente en los datos. Por ello, es importante que para implementar una cultura data-driven se debe tomar en cuenta la integración de los datos desde la estrategia empresarial. A su vez, la cultura organizacional es un factor clave para el desarrollo de la cultura data-driven en las organizaciones. Este trabajo busca presentar una exhaustiva investigación de artículos de alto impacto y tiene como objetivo general contrastar las diversas posturas y valoración de los autores respecto a los factores d...
13
artículo
This article describes and analyzes human oversight and control in the context of automated decisions in Chile and the European Union. It examines regulations on human oversight and control measures adopted(or in the process of being adopted) in the areas of personal data protection, regulation of artificial intelligence and platform work. The analysis explores the different justifications for human intervention in these areas, as well as the limitations and challenges to their implementation.
14
tesis doctoral
Publicado 2019
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Descargue el texto completo en el repositorio institucional de la Aston University: https://doi.org/10.48780/publications.aston.ac.uk.00041929
15
tesis de grado
Publicado 2025
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Este estudio analiza el impacto del procesamiento de lenguaje natural (PLN) en el ámbito sanitario, evaluando las técnicas más eficaces para mejorar procesos y servicios médicos. La investigación utiliza una revisión sistemática basada en el protocolo PRISMA 2020, seleccionando 20 artículos clave de bases de datos académicas como IEEE Xplore y ScienceDirect. Se identifican cuatro técnicas principales: análisis de sentimientos, reconocimiento de NER, clasificación automática de textos y generación de resúmenes. Estas técnicas han demostrado ser herramientas efectivas para mejorar la precisión diagnóstica, optimizar la gestión de datos clínicos y reducir la carga administrativa. El análisis revela que los modelos avanzados de aprendizaje profundo, como BERT y CNN, logran tasas de precisión superiores al 90% en tareas como la clasificación de enfermedades y el resumen...
16
tesis de grado
Publicado 2018
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La presente tesis titulada, “MINERÍA DE DATOS PARA MEJORAR LA TOMA DECISIONES EN EL AREA DE GESTIÓN AL CLIENTE DE TELEFÓNICA DEL PERÚ ZONAL TARAPOTO”, tiene como objetivo general, determinar el efecto del uso de minería de datos en la toma de decisiones en el área de gestión al cliente de telefónica del Perú zonal Tarapoto; para cumplir con tal objetivo primeramente se tuvo que analizar los procesos de toma de decisiones en el área de gestión al cliente encontrando ciertas falencias; teniendo en claro el análisis se pasó a diseñar e implementar el sistema con herramientas de minería de datos llevando a medir los resultados en el proceso de toma de decisiones con el uso del aplicativo con minería de datos. Para el desarrollo de esta tesis “MINERÍA DE DATOS PARA MEJORAR LA TOMA DECISIONES EN EL ÁREA DE GESTIÓN AL CLIENTE DE TELEFÓNICA DEL PERÚ ZONAL TARAPOTO”, ...
17
artículo
Publicado 2019
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The Demographic and Family Health Survey (ENDES, in Spanish) is a national population-based survey with representation at the departmental level and area of residence, constituting a source of information on the health status of the Peruvian population. In order to standardize its processing and subsequent reuse by the academic community and other stakeholders, we documented the code for the manipulation, analysis, and visualization of data from the ENDES 2017 health questionnaire, through an example on the prevalence of hypertension and obesity, using the R statistical programming environment and language. The R code is presented and detailed sequentially, as well as the theoretical support of the survey structure for the manipulation of databases, considering that the complex structure of the ENDES could be a potential barrier faced by researchers. Finally, this example can serve as a ...
18
artículo
Hiring processes are intended to recruit and retain ideal candidates; those who would generate competitive value in an organization. In an increasingly global context, the challenge is often costly, inefficient, and complex. Even though artificial intelligence already solves specific tasks with greater speed, precision, and efficiency in various fields, and in different companies, in the area of human resources the desirability of the use of data science continues to be debated. By reviewing cases and research, in which the integration of artificial intelligence applications in the selection processes was tested, measuring and socializing impacts, I contribute to the current discussion aimed at overcoming the mistrust that exists by default, and that is associated with the ethical challenges and risks t assumed to solve a human problem through technology. I conclude that it is possible t...
19
artículo
Hiring processes are intended to recruit and retain ideal candidates; those who would generate competitive value in an organization. In an increasingly global context, the challenge is often costly, inefficient, and complex. Even though artificial intelligence already solves specific tasks with greater speed, precision, and efficiency in various fields, and in different companies, in the area of human resources the desirability of the use of data science continues to be debated. By reviewing cases and research, in which the integration of artificial intelligence applications in the selection processes was tested, measuring and socializing impacts, I contribute to the current discussion aimed at overcoming the mistrust that exists by default, and that is associated with the ethical challenges and risks t assumed to solve a human problem through technology. I conclude that it is possible t...
20
artículo
Publicado 2018
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This research aims to demonstrate how portfolio management influences the decision-making process in the projects of a financial organization. And to achieve this goal was used the single case study method. In order to reach this goal, the study began by means of bibliometric research on the subject of portfolio management and subsequent bibliographic research on the theme, decision making. Next, the relationships between portfolio management and decision making were studied. The results of the data collected confirmed the relationship between "the use of the project identification process in portfolio management to influence decision making" in order to add value to the business. It is also possible to demonstrate moderately that "the use of criteria for project selection influences the consequences of decision making", helping in the strategic management of the organization. One of the...
