El número de trabajadores agrícolas temporales a Michigan, coloca a ese estado en el cuarto lugar en la Unión Americana, con aproximadamente 45 mil trabajadores por año, la mayoría de ellos hispánicos provenientes de México (datos del 2006).
La…

Resumen de la tesis del autor para obtener el grado de Magister en Redes de Datos de la Facultad de Informática de la UNLP, dirigida por Luis Armando Marrone.

Generally, the interactivity provided by web applications is carried out through surfing, as a result of a server’s response at the request of a workstation. This is an essential characteristic of this type of software, although in some circumstances it…

El presente artículo describe un sistema de adquisición de datos para un medidor de deformación. Se presenta el análisis del diseño de la circuitería y la programación, los resultados obtenidos y finalmente algunas conclusiones.

Ontologies serve as a mean to establish a conceptually concise basis for communicating knowledge for many purposes. Within the information integration area, ontologies are useful to solve heterogeneity problems. They provide a set of knowledge terms, including the vocabulary, the…

This study aimed to determine if legislation on violence against women (VAW) worldwide contains key components recommended by the Pan American Health Organization (PAHO) and the United Nations (UN) to help strengthen VAW prevention and provide better integrated victim protection,…

This document describes a research and development project - Semantic Web and Cooperative Problem Solving for Online Communities of Practice. The aim of the project is to build a system supporting Cooperative Problem Solving within the framework of online Communities…

DATA QUALITY IS DEGRADED DURING THE PROCESS OF EXTRACTING AND MERGING DATA FROM MULTIPLE HETEROGENEOUS SOURCES. BESIDES, USERS HAVE NO INFORMATION REGARDING THE QUALITY OF THE ACCESSED DATA. THIS DOCUMENT PRESENTS THE METHODS UTILIZED TO ASSESS DATA QUALITY AT MULTIPLE…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

CSSR es un algoritmo de aprendizaje de automatas para representar
los patrones de un proceso a partir de datos sequenciales. Este artículo estudia la
aplicabilidad del CSSR al reconocimiento de sintagmas nominales. Estudiaremos la
habilidad del CSSR para capturar los…