A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence
In the field of data analysis, it is common not to distinguish clearly between prediction and forecast. Although the results of both processes may tend to converge, the mechanisms used in each case tend to be completely different. Prediction has to do with statistical extrapolation and estimation a...
Autores principales: | , |
---|---|
Formato: | Articulo |
Lenguaje: | Inglés |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/87771 |
Aporte de: |
id |
I19-R120-10915-87771 |
---|---|
record_format |
dspace |
institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas Business Intelligence Expert Knowledge Forecast Methodology Prediction Conocimiento experto Inteligencia de negocio Predicción Pronóstico |
spellingShingle |
Ciencias Informáticas Business Intelligence Expert Knowledge Forecast Methodology Prediction Conocimiento experto Inteligencia de negocio Predicción Pronóstico Lorenzo, Antonio Olivas Varela, José Ángel A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence |
topic_facet |
Ciencias Informáticas Business Intelligence Expert Knowledge Forecast Methodology Prediction Conocimiento experto Inteligencia de negocio Predicción Pronóstico |
description |
In the field of data analysis, it is common not to distinguish clearly between prediction and forecast.
Although the results of both processes may tend to converge, the mechanisms used in each case tend to be completely different. Prediction has to do with statistical extrapolation and estimation and forecasting can consider expert judgments on the subject. A methodology is proposed to carry out this latter task, with a mechanism that uses both historical and current data with the judgement of an expert. The methodology is applied to the case study of the Spanish general elections of April 2019. |
format |
Articulo Articulo |
author |
Lorenzo, Antonio Olivas Varela, José Ángel |
author_facet |
Lorenzo, Antonio Olivas Varela, José Ángel |
author_sort |
Lorenzo, Antonio |
title |
A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence |
title_short |
A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence |
title_full |
A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence |
title_fullStr |
A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence |
title_full_unstemmed |
A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence |
title_sort |
case study of forecasting elections results: beyond prediction based on business intelligence |
publishDate |
2019 |
url |
http://sedici.unlp.edu.ar/handle/10915/87771 |
work_keys_str_mv |
AT lorenzoantonio acasestudyofforecastingelectionsresultsbeyondpredictionbasedonbusinessintelligence AT olivasvarelajoseangel acasestudyofforecastingelectionsresultsbeyondpredictionbasedonbusinessintelligence AT lorenzoantonio uncasodeestudiodepronosticodelosresultadoselectoralesmasalladelaprediccionbasadaenbusinessintelligence AT olivasvarelajoseangel uncasodeestudiodepronosticodelosresultadoselectoralesmasalladelaprediccionbasadaenbusinessintelligence AT lorenzoantonio casestudyofforecastingelectionsresultsbeyondpredictionbasedonbusinessintelligence AT olivasvarelajoseangel casestudyofforecastingelectionsresultsbeyondpredictionbasedonbusinessintelligence |
bdutipo_str |
Repositorios |
_version_ |
1764820489379774468 |