Machine learning for personal credit evaluation: A systematic review

The importance of information in today's world as it is a key asset for business growth and innovation. The problem that arises is the lack of understanding of knowledge quality properties, which leads to the development of inefficient knowledge-intensive systems. But knowledge cannot be shared effectively without effective knowledge-intensive systems. Given this situation, the authors must analyze the benefits and believe that machine learning can benefit knowledge management and that machine learning algorithms can further improve knowledge-intensive systems. It also shows that machine learning is very helpful from a practical point of view. Machine learning not only improves knowledge-intensive systems but has powerful theoretical and practical implementations that can open up new areas of research. The objective set out is the comprehensive and systematic literature review of research published between 2018 and 2022, these studies were extracted from several critically important academic sources, with a total of 73 short articles selected. The findings also open up possible research areas for machine learning in knowledge management to generate a competitive advantage in financial institutions.Campus Lima Centr

Análisis de rendimiento entre Oracle y Mongodb para empresas Call Centers en un contexto de Investigación Cuantitativa

Currently, companies manage an enormous amount of information. and there are several relational and non-relational database administrators, and because of this companies can choose where to manage their data, in the article it was decided to analyze the performance between Oracle (SQL) and MongoDB (NoSQL), it was based on the CRUD operations, with these results of the analysis it will be possible to provide a broader vision to these companies and they can choose DBMS according to their needs.En la actualidad, las compañías gestionan una enorme cantidad de información. y existen diversos administradores de bases de datos tanto relacionales como no relacionales, y debido a esto las empresas pueden elegir en donde administrar sus datos, en artículo se decidió analizar el rendimiento entre Oracle (SQL) y MongoDB (NoSQL), se basó en las operaciones de CRUD, con estos resultados del análisis se podrá brindar una visión más amplia a estas empresas y que puedan elegir SGBD de acuerdo con sus necesidades

Análisis de rendimiento entre Oracle y Mongodb para empresas Call Centers en un contexto de Investigación Cuantitativa

Currently, companies manage an enormous amount of information. and there are several relational and non-relational database administrators, and because of this companies can choose where to manage their data, in the article it was decided to analyze the performance between Oracle (SQL) and MongoDB (NoSQL), it was based on the CRUD operations, with these results of the analysis it will be possible to provide a broader vision to these companies and they can choose DBMS according to their needs.En la actualidad, las compañías gestionan una enorme cantidad de información. y existen diversos administradores de bases de datos tanto relacionales como no relacionales, y debido a esto las empresas pueden elegir en donde administrar sus datos, en artículo se decidió analizar el rendimiento entre Oracle (SQL) y MongoDB (NoSQL), se basó en las operaciones de CRUD, con estos resultados del análisis se podrá brindar una visión más amplia a estas empresas y que puedan elegir SGBD de acuerdo con sus necesidades

PENSAMIENTO CRÍTICO EN LA INVESTIGACIÓN CIENTÍFICA Y ACADÉMICA COLECCIÓN CIENTÍFICA EDUCACIÓN, EMPRESA Y SOCIEDAD

PENSAMIENTO CRÍTICO EN LA INVESTIGACIÓN CIENTÍFICA Y ACADÉMICA COLECCIÓN CIENTÍFICA EDUCACIÓN, EMPRESA Y SOCIEDAD Primera Edición 2023 Vol. 21 Editorial EIDEC Sello Editorial EIDEC (978-958-53018) NIT 900583173-1 ISBN: 978-628-95884-1-5 Formato: Digital PDF (Portable Document Format) DOI: https://doi.org/10.34893/e1150-3660-8721-s Publicación: Colombia Fecha Publicación: 13/09/2023 Coordinación Editorial Escuela Internacional de Negocios y Desarrollo Empresarial de Colombia – EIDEC Centro de Investigación Científica, Empresarial y Tecnológica de Colombia – CEINCET Red de Investigación en Educación, Empresa y Sociedad – REDIEES Revisión y pares evaluadores Centro de Investigación Científica, Empresarial y Tecnológica de Colombia – CEINCET Red de Investigación en Educación, Empresa y Sociedad – REDIEE

Impact of Digital Marketing on Budamaki Company

Currently, companies have the obligation to acquire new technologies to automate their processes, activities and functions, so that they can guarantee an efficient service. In this article, we present a proposal to implement a web system to improve the digital marketing of the Budamaki Company, thus fulfilling one of its objectives such as developing high quality products and acceptance for its customers. So we opted for the development of a web page for greater interaction with your customers.Revisón por pare

Outcomes in Newly Diagnosed Atrial Fibrillation and History of Acute Coronary Syndromes: Insights from GARFIELD-AF

BACKGROUND: Many patients with atrial fibrillation have concomitant coronary artery disease with or without acute coronary syndromes and are in need of additional antithrombotic therapy. There are few data on the long-term clinical outcome of atrial fibrillation patients with a history of acute coronary syndrome. This is a 2-year study of atrial fibrillation patients with or without a history of acute coronary syndromes