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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2019-10-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | http://journal.info.unlp.edu.ar/JCST/article/view/1277 |
| Summary: | 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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| ISSN: | 1666-6046 1666-6038 |