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1
artículo
With the implementation of new trends and the impact of digitization, mass data storage represents an appealing target for cyber attackers. This forces organizations to rethink and protect technological processes from a cybersecurity perspective. It is important to know what these threats are, and the basic steps to reduce the risk of being victims of a cyberattack
2
artículo
With the implementation of new trends and the impact of digitization, mass data storage represents an appealing target for cyber attackers. This forces organizations to rethink and protect technological processes from a cybersecurity perspective. It is important to know what these threats are, and the basic steps to reduce the risk of being victims of a cyberattack
3
artículo
With the implementation of new trends and the impact of digitization, mass data storage represents an appealing target for cyber attackers. This forces organizations to rethink and protect technological processes from a cybersecurity perspective. It is important to know what these threats are, and the basic steps to reduce the risk of being victims of a cyberattack
4
artículo
This research was conducted in order to understand the barriers that Peruvian entrepreneurs craft beer, which prevents increasing their production supply. To meet this impact a questionnaire and interviews with producers of craft beer consumers in metropolitan Lima and a market segment was applied, being the preference of entrepreneurs to carry out promotion and advertising on social networks is inefficient. A significant percentage of entrepreneurs focuses its products to a broad market segment. The mixed system of payment of excise tax is seen as unfair by the entrepreneur and considered an element that raises the price of its products. The consumer appreciates the taste of beer attribute and shows its willingness to pay a high price.
5
artículo
Publicado 2023
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The purpose of the research is to analyze the incidence of public investment on the collection of property tax in local governments of the southern macro region of Peru during the period 2010 to 2020. The type of study is applied, under the quantitative approach, design is not experimental, longitudinal panel type, descriptive and explanatory. The data for each municipality was extracted from the informative portal of the Ministry of Economy and Finance (MEF) segmented through cluster analysis. The econometric estimation method takes into account the methodology for longitudinal panel data. Taking into account the cluster analysis and econometric estimates, the results show that public investment in transportation (0.31%), sanitation (0.12%) and culture and sports (0.09%) [first cluster], transportation (0.25%) and culture and sports (0.14%) [second cluster] and investment in transportat...
6
artículo
Publicado 2004
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The present article emphasizes the use of data mining for the discovery of knowledge, with the purpose of contributing in taking tactical decisions and strategies within an organization providing an automated sense to generate knowledge. Techniques, the predictive power of statistical models and the contribution of the various fields of the research have been included.
7
artículo
Publicado 2004
Enlace
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The present article emphasizes the use of data mining for the discovery of knowledge, with the purpose of contributing in taking tactical decisions and strategies within an organization providing an automated sense to generate knowledge. Techniques, the predictive power of statistical models and the contribution of the various fields of the research have been included.
8
tesis de grado
Publicado 2014
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Enlace
El presente trabajo de tesis desarrolla un Data Mart para el apoyo al proceso de toma de decisiones del área de área administración y finanzas de la Municipalidad Distrital de los Baños del Inca. Debido a que sus sistemas actuales no soportan el manejo adecuado de grandes volúmenes de información, tienen el problema de utilizar su información para emplearla en la toma de decisiones de la institución. Para llevar adelante el desarrollo del Data Mart se utilizó la metodología de Kimball, conformada por las siguientes etapas: • Planificación: En este proceso se determina el propósito del proyecto de DW/BI, sus objetivos específicos y el alcance del mismo, los principales riesgos y una aproximación inicial a las necesidades de información. • Análisis de requerimientos: Se debe aprender tanto como se pueda sobre el negocio, los competidores, la industria y los clientes del...
9
artículo
Geometallurgy is defined as the study of the genesis of minerals with respect to the performance of their metallurgical processing. The construction of geometallurgical models is of the utmost importance for the technical-economic evaluation of the deposit. The robustness of the model depends on the number of resources invested to generate potential information that will serve in decision making. The relevance of the geometallurgical model has a high value in mining management, which serves as an instrument for the planning, exploitation and design of metallurgical processes according to the type of deposit. Using the information to maximize economic performance in concentration processes has enormous potential and challenge for plant operators. This article will discuss the use of data analysis and its applications in several successful cases for porphyry-type deposits, taking...
10
artículo
Publicado 2015
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This article aims to expose the use of Big Data in Conjoint Analysis or analysis of sets (trade-off analysis). Companies are always developing new products, which is aided by the use of market data in in order to research and identifying the preferences of their targeted customers. Currently, the cluster analysis is one of the most used tools within market research. This is because it helps cut costs in the process. Through descriptive research, various investigations using conjoint analysis can be reviewed to gather information and simulate software tools like Sawtooth, taking advantage of Big Data technology. It can be concluded that transactional and social information used with Big Data can efficiently aid researchers if used in conjunction with the conjoint analysis.
11
artículo
Publicado 2015
Enlace
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This article aims to expose the use of Big Data in Conjoint Analysis or analysis of sets (trade-off analysis). Companies are always developing new products, which is aided by the use of market data in in order to research and identifying the preferences of their targeted customers. Currently, the cluster analysis is one of the most used tools within market research. This is because it helps cut costs in the process. Through descriptive research, various investigations using conjoint analysis can be reviewed to gather information and simulate software tools like Sawtooth, taking advantage of Big Data technology. It can be concluded that transactional and social information used with Big Data can efficiently aid researchers if used in conjunction with the conjoint analysis.
12
tesis de grado
Publicado 2023
Enlace
Enlace
El presente trabajo es la implementación integral de un Data Center Rated 2. La empresa a la cual se está implementando dicho Data Center está dedicado al rubo de la salud y se ha visto en la necesidad en construir un centro de datos que le brinde confiabilidad y disponibilidad ya que el que se tiene actualmente es obsoleto y no tiene las condiciones necesarias para soportar toda su infraestructura de servicios de TI que son necesarios para su normal funcionabilidad de sus procesos y atenciones a los pacientes, siendo este el más crítico, ya que los doctores necesitan tener el historial de los pacientes actualizado y al momento para poder atenderlos sin contratiempos. El siguiente proyecto se ha considerado el diseño e implementación de un data center considerando especificaciones brindadas por el cliente y cumpliendo los estándares necesarios para su implementación y posterior ...
13
objeto de conferencia
Publicado 2017
Enlace
Enlace
Septima Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, CICIC 2017 - 7th Ibero-American Conference on Complexity, Informatics and Cybernetics, CICIC 2017; Orlando; United States; 21 March 2017 through 24 March 2017; Code 131437
14
artículo
Publicado 2016
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Enlace
This paper details the latest research on the subject of this research, “Method of Data Architecture Modelling to ensure robustness and stability”. The structure of the paper is organized in two main blocks:A. Data ModellingB. Methods of Data Modelling These issues are the main elements of the present investigation. Clearly identify the concept and modellingactivity is critical for support the whole development of the method. Data analysis is one of the critical issues, bythe very nature of this stage is not operational but thoughtful. Many times, technical staff often avoids it becauseis tedious, hence the importance of finding a rigorous and practical technique, which possessing sense for thebusiness area. Finally, as all trade information system is directed towards the company, then you should take into account the business patterns to merge with the technological model.
15
artículo
Publicado 2016
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Enlace
This paper details the latest research on the subject of this research, “Method of Data Architecture Modelling to ensure robustness and stability”. The structure of the paper is organized in two main blocks:A. Data ModellingB. Methods of Data Modelling These issues are the main elements of the present investigation. Clearly identify the concept and modellingactivity is critical for support the whole development of the method. Data analysis is one of the critical issues, bythe very nature of this stage is not operational but thoughtful. Many times, technical staff often avoids it becauseis tedious, hence the importance of finding a rigorous and practical technique, which possessing sense for thebusiness area. Finally, as all trade information system is directed towards the company, then you should take into account the business patterns to merge with the technological model.
16
tesis doctoral
Chronic wounds are a serious health problem because they do not follow a normal healing process and take a long time to heal. Monitoring the evolution of the wound is vital to evaluate the current treatment and determine the need for a different approach. Traditionally, this assessment is based on manual measurements and visual observation, which can be subjective and non-quantitative, leading to uncertainty in patient follow-up. This thesis proposes to leverage color and thermal imaging from cameras embedded in a smartphone to provide a non-invasive tool for wound assessment. Standard and affordable devices enables its applicability and scalability in clinical settings. We propose a methodology to create realistic and accurate 3D thermal models from a set of images captured with affordable and handheld devices. This approach was automated and evaluated in clinical settings on a total of...
17
artículo
This article aims to identify the way in which the Netflix platform demonstrates the concept of television flow in its catalog, based on the analysis of the original content of fiction series released in 2019. It also recognizes some programming strategies and techniques that implements this video streaming platform, considering the implications of big data and recommendation systems. The methodology contemplates qualitative and quantitative techniques and applies an analysis matrix based on a manual coding of 157 original fiction series, with variables such as launch date, origin of production, season number, chapters and total minutes released per season. Among the main findings, it is evident that Netflix achieves a television flow with permanent premieres throughout the year, the launch of content by seasons with full chapters, as well as the election of Friday and the spring season ...
18
tesis doctoral
Chronic wounds are a serious health problem because they do not follow a normal healing process and take a long time to heal. Monitoring the evolution of the wound is vital to evaluate the current treatment and determine the need for a different approach. Traditionally, this assessment is based on manual measurements and visual observation, which can be subjective and non-quantitative, leading to uncertainty in patient follow-up. This thesis proposes to leverage color and thermal imaging from cameras embedded in a smartphone to provide a non-invasive tool for wound assessment. Standard and affordable devices enables its applicability and scalability in clinical settings. We propose a methodology to create realistic and accurate 3D thermal models from a set of images captured with affordable and handheld devices. This approach was automated and evaluated in clinical settings on a total of...
19
tesis de grado
Publicado 2018
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Enlace
En la presente investigación se implementa un data mart para el área comercial de la empresa de transportes ITTSABUS S.R.L., con el objetivo de mejorar el proceso de toma de decisiones. El tipo de estudio es de descriptivo experimental, ya que el propósito de la investigación es saber si la implementación de un Data Mart mejora el proceso de toma de decisiones, para este caso variable independiente (Data Mart) y variable dependiente (Proceso de Toma de Decisiones). La variable independiente tiene las siguientes dimensiones: información clave y disponibilidad de información. La variable dependiente tiene las siguientes dimensiones: tiempo, actores con acceso a la información comercial y calidad de la información. Los métodos usados para la recolección de datos en la presente investigación fueron las encuestas cuyo instrumento fue el cuestionario y la observación cuyo instrume...
20
artículo
Big Data Analytics initiatives are crucial for changing conventional firms' decision-making directly into a data driven one that helps achieve the firm's goals. Nevertheless, prior information methods analysis has not given sufficient interest in the effect of Big Data Analytics use on decision-making quality. Using the computational ability of Data Analytics, this analysis examined the effect of Big Data Analytics on decision-making quality and evaluated the mediating impact of Data Analytics capabilities. We collected information through 480 software companies in America. The empirical outcomes demonstrated that big data analytics usage had a positive effect on decision-making quality, where Big Data Analytics had a mediating role in the relationship between Big Data Analytics use and decision-making quality. Thus, companies should not only popularize Big Data Analytics use in business...
