Inteligencia de negocios aplicando la metodología RFM a las cuentas de los Socios de la COAC Jardín Azuayo

El presente proyecto:Inteligencia de negocios, aplicando la metodología RFM a las cuentas de los socios de la COAC Jardín Azuayo, se desarrolla sobre la necesidad de la institución de contar con herramientas eficientes y eficaces para la toma de decisiones y conocimiento del socio. Primero, se determina la importancia de construir una herramienta de Inteligencia de Negocios dentro de Jardín Azuayo que permita obtener información clara y concisa en tiempo real para la toma de decisiones. Segundo, se continúa con el desarrollo de metodologías para la gestión del valor del socio a través del conocimiento de sus necesidades analizando la información histórica de su última transacción realizada, la frecuencia con la que acude para acceder a los servicios que ofrece la Cooperativa y el monto promedio por transacción. Finalmente, al combinar la herramienta de Inteligencia de Negocios para la obtención de información y la aplicación de metodologías para el conocimiento del socio, se ha podido plantear dos estrategias básicas para la afianzar la fidelización del socio con la Cooperativa.

Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study

Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines the jMetal framework for multi-objective optimization with Apache Spark, a technology that is gaining momentum. In particular, we make use of the streaming facilities of Spark to feed an optimization problem with data from different sources. We demonstrate the use of our tool by solving a dynamic bi-objective instance of the Traveling Salesman Problem (TSP) based on near real-time traffic data from New York City, which is updated several times per minute. Our experiment shows that both jMetal and Spark can be integrated providing a software platform to deal with dynamic multi-optimization problems.

Dependência e deficiência : um estudo sobre o índice de funcionalidade brasileiro aplicado à aposentadoria (IFBr-A)

Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Humanas, Departamento de Serviço Social, Programa de Pós-Graduação em Política Social, 2016.

Constructing Threat: How Americans Identify Economic Competitors

China’s emergence as an economic powerhouse has often been portrayed as threatening to America’s economic strength and to its very identity as “the global hegemon.” The media’s alarmist response to an economic competitor is familiar to those who remember US-Japanese relations in the 1980s. In order to better understand the basis of American threat perception, this study explores the independent and interactive impact of three variables (perceptions of the Other’s capabilities, perceptions of the Other as a threat versus as an opportunity, and perceptions of the Other’s political culture) on attitudes toward two different economic competitors (Japan 1977-1995 and China 1985-2011). Utilizing four methods (historical process tracing, public polling data analysis, social scientific experimentation, and content analysis), this study demonstrates that increases in the Other’s economic capabilities have a much smaller impact on attitudes than is commonly believed. It further shows that while perceptions of threat/opportunity played a significant role in shaping attitudinal response toward Japan, perceptions of political culture are the most important factor driving attitudes toward China today. This study contributes to a better understanding of how states react to threats and construct negative images of their economic rivals. It also helps to explain the current Sino-American relationship and enables better predictions as to its potential future course. Finally, these findings contribute to cultural explanations of the democratic peace phenomenon and provide a boundary condition (political culture) for the liberal proposition that opportunity ameliorates conflict in the economic realm.

The Influence of Gender on Perceived Treatment Need among a Community Sample of Substance Users

Purpose: Most individuals do not perceive a need for substance use treatment despite meeting diagnostic criteria for substance use disorders and they are least likely to pursue treatment voluntarily. There are also those who perceive a need for treatment and yet do not pursue it. This study aimed to understand which factors increase the likelihood of perceiving a need for treatment for individuals who meet diagnostic criteria for substance use disorders in the hopes to better assist with more targeted efforts for gender-specific treatment recruitment and retention. Using Andersen and Newman’s (1973/2005) model of individual determinants of healthcare utilization, the central hypothesis of the study was that gender moderates the relationship between substance use problem severity and perceived treatment need, so that women with increasing problems due to their use of substances are more likely than men to perceive a need for treatment. Additional predisposing and enabling factors from Andersen and Newman’s (1973/2005) model were included in the study to understand their impact on perceived need. Method: The study was a secondary data analysis of the 2010 National Survey on Drug Use and Health (NSDUH) using logistic regression. The weighted sample consisted of a total 20,077,235 American household residents (The unweighted sample was 5,484 participants). Results of the logistic regression were verified using Relogit software for rare events logistic regression due to the rare event of perceived treatment need (King & Zeng, 2001a; 2001b). Results: The moderating effect of female gender was not found. Conversely, men were significantly more likely than women to perceive a need for treatment as substance use problem severity increased. The study also found that a number of factors such as race, ethnicity, socioeconomic status, age, marital status, education, co-occurring mental health disorders, and prior treatment history differently impacted the likelihood of perceiving a need for treatment among men and women. Conclusion: Perceived treatment need among individuals who meet criteria for substance use disorders is rare, but identifying factors associated with an increased likelihood of perceiving need for treatment can help the development of gender-appropriate outreach and recruitment for social work treatment, and public health messages.

The continuing evolution of official statistics: some challenges and opportunities

As economies, societies, and environments change, official statistics evolve and develop to reflect those changes. In reaction to disruptive innovations arising from globalisation, technological advances, and cultural changes, the pace of change of official statistics will accelerate in the future. The motivation for change may also be more existential than that of the past as official statisticians consider the survival of their discipline. This article examines some of the emerging developments and questions whether they present threats or offer opportunities.

Privacy matters: issues within mechatronics

As mechatronic devices and components become increasingly integrated with and within wider systems concepts such as Cyber-Physical Systems and the Internet of Things, designer engineers are faced with new sets of challenges in areas such as privacy. The paper looks at the current, and potential future, of privacy legislation, regulations and standards and considers how these are likely to impact on the way in which mechatronics is perceived and viewed. The emphasis is not therefore on technical issues, though these are brought into consideration where relevant, but on the soft, or human centred, issues associated with achieving user privacy.

Emprendimiento, instituciones y construcción de paz – Análisis de Influencia de Stakeholders en los departamentos de Nariño y Cauca

Nariño y Cauca son dos de los departamentos de Colombia más afectados por la violencia. La reciente firma de un acuerdo de un cese bilateral de hostilidades con las Fuerzas Armadas Revolucionarias de Colombia (FARC) y los diálogos de La Habana son apenas el comienzo de la Construcción de Paz (CP) que implica el esfuerzo continuo de diferentes actores (gubernamentales, sector privado, sociedad civil y organismos multilaterales) para lograr no solo una paz negativa sino una paz positiva. El apoyo al emprendimiento es una estrategia implementada por el Gobierno y por los stakeholders que participan en el proceso del posconflicto, que tiene como finalidad respaldar el proceso de integración económica de las víctimas y desmovilizados. El presente documento es un estudio exploratorio elaborado por medio de una investigación cualitativa en la temática de emprendimiento, instituciones y CP en los departamentos de Nariño y Cauca. Se utilizó una estrategia metodológica denominada Matrices de Stakeholders para representar gráficamente la influencia institucional sobre la toma decisiones e implementación de los stakeholders sobre las reformas o políticas de emprendimiento y CP en estos dos departamentos. En esta investigación se encontró que i) en general, las instituciones del gobierno de los de Nariño y Cauca son extractivas y limitan la participación de la sociedad; ii) los stakeholders de la sociedad civil a pesar de tener cierta organización y voz no están en capacidad de generar influencia más que a nivel local o comunitario; iii) los vacíos dejados por las instituciones extractivas del gobierno tienden a ser llenados por instituciones inclusivas de stakeholders del sector privado y de organismos multilaterales.

Waiting Time Screening in Diagnostic Medical Imaging - A Case-Based View

Due to the high standards expected from diagnostic medical imaging, the analysis of information regarding waiting lists via different information systems is of utmost importance. Such analysis, on the one hand, may improve the diagnostic quality and, on the other hand, may lead to the reduction of waiting times, with the concomitant increase of the quality of services and the reduction of the inherent financial costs. Hence, the purpose of this study is to assess the waiting time in the delivery of diagnostic medical imaging services, like computed tomography and magnetic resonance imaging. Thereby, this work is focused on the development of a decision support system to assess waiting times in diagnostic medical imaging with recourse to operational data of selected attributes extracted from distinct information systems. The computational framework is built on top of a Logic Programming Case-base Reasoning approach to Knowledge Representation and Reasoning that caters for the handling of in-complete, unknown, or even self-contradictory information.

10th European Conference on Information Systems Management

The 10th European Conference on Information Systems Management is being held at The University of Evora, Portugal on the 8 /9 September 2016. The Conference Chair is Paulo Silva and the Programme Chairs are Prof. Rui Quaresma and Prof. António Guerreiro. ECISM provides an opportunity for individuals researching and working in the broad field of information systems management, including IT evaluation to come together to exchange ideas and discuss current research in the field. This has developed into a particularly important forum for the present era, where the modern challenges of managing information and evaluating the effectiveness of related technologies are constantly evolving in the world of Big Data and Cloud Computing. We hope that this year’s conference will provide you with plenty of opportunities to share your expertise with colleagues from around the world. The keynote speakers for the Conference are Carlos Zorrinho from the Portuguese Delegation and Isabel Ramos from University of Minho, Portugal. ECISM 2016 received an initial submission of 84 abstracts. After the double blind peer review process 25 aca demic papers, 7 PhD research papers, 3 Masters research paper and 5 work in progress papers have been ac cepted for publication in these Conference Proceedings. These papers represent research from around the world, including Belgium, Brazil, China, Czech Republic, Kazakhstan, Malaysia, New Zealand, Norway, Oman, Poland, Portugal, South Africa, Sweden, The Netherlands, UK and Vietnam.

An Overview of IoT and Healthcare

This paper is an overview of some of the implications of IoT on the healthcare field. Due to the increasing of IoT solutions, healthcare cannot be outside of this paradigm. The contribution of this paper is to introduce directions to achieve a global connectivity between the Internet of Things (IoT) and the medical environments. The need to integrate all in a global environment is a huge challenge to all (from electrical engineers to data engineers).This revolution is redesigning the way we see healthcare, from the smallest sensor to the big data collected.