17 emaitzak
Data Lake del sector aseguradorclose

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Autores: Sanz Girgado, Ignacio

Áreas temáticas: 12 - matemáticas, 1203 - ciencia de los ordenadores , 1203.18 - sistemas de información, diseño y componentes

Etiquetas: mercado asegurador, datalake, powerbi, inteligencia empresarial, insurance, business development

Data analytics and predictive models for customer behavior in insurance buying for SME business ownersclose

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Autores: Doussinague Gutiérrez, Jaime

Áreas temáticas: 33 - ciencias tecnológicas, 3304 - tecnología de los ordenadores , 3304.13 - dispositivos de transmisión de datos

Etiquetas: lead scoring, sem, crm, machine learning, marketing, ventas, seguros, seguros empresas, sales, insurance, business insurance

Comparación de métodos de predicción de series temporales en R con doble estacionalidadclose

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Autores: Gervás Nieto, Jaime

Etiquetas: serie temporal, doble estacionalidad, predicción, rstudio, x-11, stl, mstl, dshw, bats, tbats, time series, double seasonality, prediction

Guía práctica de implementación de topic modeling en R: analizando artículos periodísticos sobre el metaverso - Velilla Cadahía, María del Rocíoclose

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Autores: Velilla Cadahia, María Del Rocío

Etiquetas: topic modeling, latent dirichlet allocation (lda), guía práctica, metaverso, practical guide, metaverse

Detección de fraudes de tarjetas de crédito mediante algoritmos de Machine Learningclose

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Autores: Clemente Martín, David

Etiquetas: machine learning, dataset, kaggle, eda, feature engineering.

LA PANDEMIA SILENCIOSA: ANÁLISIS DE LA CONTAMINACIÓN ACÚSTICA DURANTE EL CONFINAMIENTO POR COVID-19 EN LA COMUNIDAD DE MADRIDclose

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Autores: Sanjuan López De Ayala, Ramón

Etiquetas: this study carries out a detailed examination of noise pollution in the community of madrid during the unprecedented period of the covid-19 pandemic. using meticulously collected data from the noise measurement stations in the community of madrid and selected variables to reflect influences related to weather, holidays, and vehicle circulation restrictions, we have been able to create a detailed portrait of how the pandemic has altered noise patterns in the region. the application of a multiple regression model in the r software has allowed the identification and quantification of significant relationships between these variables and noise levels. at the same time, we have been able to underscore the impacts of noise pollution on the health and wellbeing of the population, an issue often overlooked in public debate but of growing importance. in addition, in order to facilitate an intuitive understanding of the impact of noise pollution, we have used the folium library in python for the visual representation of data and the results obtained. these spatial maps of the community of madrid have allowed to appreciate the differences more fully in noise levels by zones during the study period. this work makes a valuable contribution to understanding how confinement measures and vehicle restrictions can affect noise pollution, providing solid and quantifiable evidence that can be useful in urban planning and public policy decision-making. in summary, the study forcefully underlines the need to pay attention to the management of noise pollution, evidencing its importance for public health and overall social wellbeing. it highlights the need for greater awareness and action in this area, calling on all stakeholders to take steps to address this persistent but solvable urban problem., comunidad de madrid, lockdown, python.

Text analysis para la identificación de la política monetaria en la eurozona durante el COVID-19close

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Autores: Bergaz Picardo, Mercedes

Áreas temáticas: 53 - ciencias económicas, 5304 - actividad económica, 5304.06 - dinero y operaciones bancarias

Etiquetas: crisis financiera mundial 2008., conventional monetary policy instruments, unconventional monetary policy instruments, global financial crisis of 2008., instrumentos de política monetaria convencional, instrumentos de política monetaria no convencional, crisis covid-19, bce, ecb, text analysis, machine learning, covid-19 crisis

¿Puede afectar la opinión en Twitter sobre la fusión de CaixaBank y Bankia en el precio de cotización de CaixaBank?close

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Áreas temáticas: 53 - ciencias económicas, 5311 - organización y dirección de empresas , 5311.02 - gestión financiera

Etiquetas: precio de cotización, python, twitter, análisis de sentimientos, machine learning., share price, nerger, caixabank, bankia, business analytics, fusión, sentiment analysis

Comparación de métodos de predicción de series temporales en R con doble estacionalidadclose

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Etiquetas: doble estacionalidad, x-11, mstl, dshw, double seasonality, tbats, r, predicción, serie temporal, prediction, time series, rstudio

Data analytics and predictive models for customer behavior in insurance buying for SME business ownersclose

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Áreas temáticas: 33 - ciencias tecnológicas, 3310 - tecnología industrial , 3310.05 - ingeniería de procesos

Etiquetas: ventas, r, sem, mempresas, achine learning, lead scoring, marketing, seguros, sales, machine learning, crm, insurance, business insurance