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 an...

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Main Authors: Antonio Lorenzo Sánchez, Jose Angel Olivas
Format: Article
Language:English
Published: Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata 2019-10-01
Series:Journal of Computer Science and Technology
Subjects:
Online Access:http://journal.info.unlp.edu.ar/JCST/article/view/1277
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author Antonio Lorenzo Sánchez
Jose Angel Olivas
author_facet Antonio Lorenzo Sánchez
Jose Angel Olivas
author_sort Antonio Lorenzo Sánchez
collection DOAJ
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.
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spelling doaj.art-c2ea2050f68f48629d2dc7d709eaa46c2022-12-21T22:54:52ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382019-10-01192e14e1410.24215/16666038.19.e141277A Case Study of Forecasting Elections Results: Beyond Prediction based on Business IntelligenceAntonio Lorenzo Sánchez0Jose Angel Olivas1Information Technologies and Systems Institute, University of Castilla La Mancha, Ciudad Real, Spain.Information Technologies and Systems Institute, University of Castilla La Mancha, Ciudad Real, Spain.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.http://journal.info.unlp.edu.ar/JCST/article/view/1277business intelligenceexpert knowledgeforecastmethodologyprediction
spellingShingle Antonio Lorenzo Sánchez
Jose Angel Olivas
A Case Study of Forecasting Elections Results: Beyond Prediction based on Business Intelligence
Journal of Computer Science and Technology
business intelligence
expert knowledge
forecast
methodology
prediction
title 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_short 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
topic business intelligence
expert knowledge
forecast
methodology
prediction
url http://journal.info.unlp.edu.ar/JCST/article/view/1277
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