Data science methodologies selection with hierarchical analytical process and personal construction theory

The amount of data currently available for Strategic Decision Making is substantial; which is why Data Science find itself in apogee in various areas where it can be applied. Expertise respecting the areas’ methodologies is fundamental; which is why, the objective of this paper is to compare and ponder them, for which, Analytic Hierarchy Process, was utilized along with linguistic tags and Personal Construction Theory, with the purpose of establishing and prioritizing characteristics according to their degree of compliance in real validation cases. The sub-criteria were grouped in different levels, conforming a hierarchy for the present problem. The validation case consisted in determining causes for breakdowns in new automobiles as they are being transported from the factory to the concessionaires; in which the proposed model proved useful and MoProPEI could be identified as the most adequate methodology.XVI Workshop Bases de Datos y Minería de Datos.Red de Universidades con Carreras en Informátic

Data science methodologies selection with hierarchical analytical process and personal construction theory

The amount of data currently available for Strategic Decision Making is substantial; which is why Data Science find itself in apogee in various areas where it can be applied. Expertise respecting the areas’ methodologies is fundamental; which is why, the objective of this paper is to compare and ponder them, for which, Analytic Hierarchy Process, was utilized along with linguistic tags and Personal Construction Theory, with the purpose of establishing and prioritizing characteristics according to their degree of compliance in real validation cases. The sub-criteria were grouped in different levels, conforming a hierarchy for the present problem. The validation case consisted in determining causes for breakdowns in new automobiles as they are being transported from the factory to the concessionaires; in which the proposed model proved useful and MoProPEI could be identified as the most adequate methodology.XVI Workshop Bases de Datos y Minería de Datos.Red de Universidades con Carreras en Informátic

Data science methodologies selection with hierarchical analytical process and personal construction theory

The amount of data currently available for Strategic Decision Making is substantial; which is why Data Science find itself in apogee in various areas where it can be applied. Expertise respecting the areas’ methodologies is fundamental; which is why, the objective of this paper is to compare and ponder them, for which, Analytic Hierarchy Process, was utilized along with linguistic tags and Personal Construction Theory, with the purpose of establishing and prioritizing characteristics according to their degree of compliance in real validation cases. The sub-criteria were grouped in different levels, conforming a hierarchy for the present problem. The validation case consisted in determining causes for breakdowns in new automobiles as they are being transported from the factory to the concessionaires; in which the proposed model proved useful and MoProPEI could be identified as the most adequate methodology.XVI Workshop Bases de Datos y Minería de Datos.Red de Universidades con Carreras en Informátic

Procesos de explotación de información basados en sistemas inteligentes

En esta tesis se caracterizan los procesos de explotación de información asociados a los problemas de inteligencia de negocio: descubrimiento de reglas de comportamiento, descubrimiento de grupos, descubrimiento de atributos significativos (atributos importantes para el entorno de negocio que se aplica), descubrimiento de reglas de pertenencia a grupos y ponderación de reglas de comportamiento o de pertenencia a grupos. Se identifican las tecnologías de sistemas inteligentes que pueden utilizarse para los procesos caracterizados, validando estos procesos a través de casos aceptados por la comunidad internacional. Se proponen las funcionalidades de un ambiente de explotación de información que integra las tecnologías identificadas. Este ambiente administra en forma unificada los distintos procesos explotación de información que requieren las tecnologías referenciadas.This PhD thesis proposes a characterization of data mining processes associated to the following business intelligence problems: behavior rules discovering, group discovering, significant attributes discovering, group belonging rules discovering, behavior rules and group belonging rules weighting. The intelligent systems technologies that may be used in the characterized data mining processes are identified. Processes are validated through cases of study accepted by international community. Data mining environment functionalities which integrates the intelligent systems technology identified is proposed. This environment is able to manage in unified way the different data mining process that uses the technologies previously referenced.Facultad de Informátic

Detection of breast lesions in medical digital imaging using neural networks

The purpose of this article is to present an experimental application for the detection of possible breast lesions by means of neural networks in medical digital imaging. This application broadens the scope of research into the creation of different types of topologies with the aim of improving existing networks and creating new architectures which allow for improved detection.Applications in Artificial Intelligence - Learning and Neural NetsRed de Universidades con Carreras en Informática (RedUNCI

Proceso analítico jerárquico difuso extendido para análisis comparativo de metodologías de ciencia de datos

En entornos cambiantes y altamente competitivos, la correcta toma de decisiones es clave en las organizaciones, quienes basan sus decisiones en gran parte a partir de los datos disponibles. El objetivo del presente trabajo presentar un modelo extendido que involucra el Proceso Analítico Jerárquico Difuso y la técnica de Teoría de la Construcción Personal para realizar un análisis comparativo de las metodologías de Ciencia de Datos CRISP-DM, Catalyst y MoProPEI. Siguiendo los pasos del modelo, se definieron los criterios y subcriterios a partir de la pericia de los expertos y estudios previos. Las metodologías fueron evaluadas a partir de dos casos de validación reales según el grado de completitud de los criterios y sub-criterios involucrados; donde se puedo identificar a MoProPEI como la metodología más robusta. Demostrando así la utilidad del modelo propuesto.Sociedad Argentina de Informática e Investigación Operativ

Conceptualization maturity metrics for expert systems

Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the decision process in the problem domain. We propose some further work to be done with these metrics. Applying those metrics makes new and interesting problems, concerning the structure of knowledge to surfaceIFIP International Conference on Artificial Intelligence in Theory and Practice - Expert SystemsRed de Universidades con Carreras en Informática (RedUNCI

Educational Experiences in Informatics: Innovations in Internet Searches in Academic Environments

This paper presents innovative experiences in the way of teaching to search information of academic style in Internet to first year students, of the UNRN (Andina headquarters) where Informatics is a transversal topic to their careers. Since 2013 in the Workshop on Informatics a group of teachers inquiries about innovate the way how students make Internet information searches on the academic section, trying that they acquire the ability and the criteria to potentiate their searches, to value their results and to give meaning to the iterative cycle of conformation of correct search keywords, trying this to be useful in the development of their performance as students and later as professionals. We will discuss the methodological recommendations that are offered, the types of tasks and guidelines with which it is tried to innovate the search of information in Internet in academic environments, and the obtained results since 2016.VI Workshop de Innovación en Educación en Informática (WIEI).Red de Universidades con Carreras en Informática (RedUNCI

Modelo basado en la toma decisiones con criterios múltiples para la elección de metodologías de data science

La capacidad de almacenamiento de datos generados por las organizaciones ha aumentado de manera significativa en las últimas décadas y poder analizarlos de manera adecuada, genera un factor estratégico para la Toma de Decisiones (TD). Se puede observar que en los últimos años se ha incrementado la cantidad de profesionales vinculados a la Ciencia de Datos (Data Science) y una de las habilidades requeridas es conocer y manejar a la perfección las metodologías disponibles y determinar cuál se adapta mejor para cada proyecto. Es por ello que al existir una diversidad de metodologías propuestas para el desarrollo de proyectos, en ocasiones la elección no es tarea sencilla, especialmente para los que se inician en el área. La presente investigación tiene como objetivo establecer un modelo basado en la Toma de Decisiones Multicriterios (o criterios múltiples), a través de métodos como el Proceso Analítico Jerárquico y su variante combinado con Lógica Difusa, con el propósito de establecer una base sólida para la selección de metodologías que guíen los proyectos de Minería de Datos o Data Science.Eje: Agentes y Sistemas Inteligentes.Red de Universidades con Carreras en Informátic

A proposal of effort estimation method for information mining projects oriented to SMEs

Software projects need to predict the cost and effort with its associated quantity of resources at the beginning of every project. Information Mining projects are not an exception to this requirement, particularly when they are required by Small and Medium-sized Enterprises (SMEs). An existing Information Mining projects estimation method is not reliable for small-sized projects because it tends to overestimates the estimated efforts. Therefore, considering the characteristics of these projects developed with the CRISP-DM methodology, an estimation method oriented to SMEs is proposed in this paper. First, the main features of SMEs' projects are described and applied as cost drivers of the new method with the corresponding formula. Then this is validated by comparing its results to the existing estimation method using SMEs real projects. As a result, it can be seen that the proposed method produces a more accurate estimation than the existing estimation method for small-sized projects.Publicado en: Lecture Notes in Business Information Processing book series (LNBIP, volume 139)Facultad de Informátic