Search results for "Rankings"
showing 8 items of 8 documents
Projection Clustering Unfolding: A New Algorithm for Clustering Individuals or Items in a Preference Matrix
2020
In the framework of preference rankings, the interest can lie in clustering individuals or items in order to reduce the complexity of the preference space for an easier interpretation of collected data. The last years have seen a remarkable flowering of works about the use of decision tree for clustering preference vectors. As a matter of fact, decision trees are useful and intuitive, but they are very unstable: small perturbations bring big changes. This is the reason why it could be necessary to use more stable procedures in order to clustering ranking data. In this work, a Projection Clustering Unfolding (PCU) algorithm for preference data will be proposed in order to extract useful info…
World`s Most Valuable Brand Resonation With Categories of Different Customer Needs
2017
One of the key performance indicators of brand success is its value. Brand value is an outcome of brand`s performance in market, and is largely depended from brand`s ability to satisfy certain customer needs. For the greatest success in the world`s market brand should resonate its ability to satisfy some of customer`s most universal needs. In this paper authors strives to find out which of the needs world`s most successful brands are resonating with. Therefore paper goal is to is to determine what customer needs world`s most valuable brands are primarily satisfying. First part of paper authors briefly evaluate Maslow theory of needs. In second part of paper authors identify main challenges …
Mislabel Detection of Finnish Publication Ranks
2019
The paper proposes to analyze a data set of Finnish ranks of academic publication channels with Extreme Learning Machine (ELM). The purpose is to introduce and test recently proposed ELM-based mislabel detection approach with a rich set of features characterizing a publication channel. We will compare the architecture, accuracy, and, especially, the set of detected mislabels of the ELM-based approach to the corresponding reference results on the reference paper.
Comparing Boosting and Bagging for Decision Trees of Rankings
2021
AbstractDecision tree learning is among the most popular and most traditional families of machine learning algorithms. While these techniques excel in being quite intuitive and interpretable, they also suffer from instability: small perturbations in the training data may result in big changes in the predictions. The so-called ensemble methods combine the output of multiple trees, which makes the decision more reliable and stable. They have been primarily applied to numeric prediction problems and to classification tasks. In the last years, some attempts to extend the ensemble methods to ordinal data can be found in the literature, but no concrete methodology has been provided for preference…
A Projection Pursuit Algorithm for Preference Data
2018
In the framework of preference rankings, the interest can lie in finding which predictors and which interactions are able to explain the observed preference structures. The last years have seen a remarkable owering of works about the use of decision tree for clustering preference vectors. As a matter of fact, decision trees are useful and intuitive, but they are very unstable: small perturbations bring big changes. This is the reason why it could be necessary to use more stable procedures in order to clustering ranking data. In this work, following the idea of Bolton (2003), a Projection Pursuit (PP) clustering algorithm for preference data will be proposed in order to extract useful inform…
Eficiencia en la educación superior. Estudio empírico en universidades públicas de Colombia y España
2020
Resumen En las últimas décadas, las universidades de Iberoamérica han introducido nuevos esquemas de evaluación de calidad y rendición de cuentas, inspirados en el modelo de la nueva gestión pública (NGP). En este contexto, la eficiencia en el reparto de los fondos públicos y la obtención del máximo rendimiento posible son una prioridad. Así, medir la eficiencia en el sector público, y específicamente en la educación superior, se ha convertido en un desafío para la ciencia contable. El objetivo de este trabajo es una propuesta para el cálculo de índices de eficiencia con modelos de análisis envolvente de datos (DEA), introduciendo un paso previo a través del análisis de correlación canónica…
Eficiencia y Rankings en la gestión pública universitaria. Modelos de medición y comparación a través del Análisis Envolvente de Datos
2020
Las instituciones de educación superior públicas en Colombia y España hacen parte de los Sistemas Universitarios Estatales de cada país, y en los últimos años asisten a retos y cambios importantes en términos de gestión, calidad y eficiencia. Los sistemas de control de gestión en las organizaciones públicas, los sistemas de educación superior, los sistemas de clasificación y/o categorización, son tres grandes tópicos que abordan su propia integralidad. Este estudio tiene como objetivo abordarlos con una mirada holística, abarcando el tema de la eficiencia en las universidades públicas y su relación con los rankings universitarios mundiales, a partir de un abordaje multidimensional y multiva…
Does openness and open access policy relate to the success of universities?
2013
This study takes a closer look at the Ranking Web of Universities and Ranking Web of Repositories rankings and tries to examine if there is a connection between these two rankings. Study is done by analyzing the success of University of Jyväskylä and the institutional repository JyX of the University in these rankings. Comparison shows that the JyX archive plays an important role in University’s success especially when analyzing the presence and openness of the University. By analyzing the success of eight European countries in these rankings and cross reading these findings with the development of relative citation impact shown in a report by the Finnish Academy, some interesting common tr…