Are statistics and machine learning enough to make predictions and forecasts?

Autores
Lorenzo, Antonio; Olivas, José A.
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Currently the techniques used to predict the future are statistical and machine learning techniques. The first continues the trend of historical data. The second learns from previous cases training. Both use historical information but do not take in mind key factors that can make the final result change. A knowledge-based framework is presented that allows predictions of some kind ofevents to be made using artificial intelligence techniques. This requires an expert to enter the key factors that can change the trend of historical data into the system.The current framework has been applied prior to happening to two use cases, obtaining good preliminary results, in the framework of the developing of a PhD Thesis.
Instituto de Investigación en Informática
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
Forecast
Trend
Prediction
Statistics
Machine Learning
Expert Knowledge
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/104769
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/104769
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Are statistics and machine learning enough to make predictions and forecasts?Lorenzo, AntonioOlivas, José A.Ciencias InformáticasForecastTrendPredictionStatisticsMachine LearningExpert KnowledgeCurrently the techniques used to predict the future are statistical and machine learning techniques. The first continues the trend of historical data. The second learns from previous cases training. Both use historical information but do not take in mind key factors that can make the final result change. A knowledge-based framework is presented that allows predictions of some kind ofevents to be made using artificial intelligence techniques. This requires an expert to enter the key factors that can change the trend of historical data into the system.The current framework has been applied prior to happening to two use cases, obtaining good preliminary results, in the framework of the developing of a PhD Thesis.Instituto de Investigación en InformáticaInstituto de Investigación en Informática2020-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf27-30http://sedici.unlp.edu.ar/handle/10915/104769enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1927-4info:eu-repo/semantics/reference/hdl/10915/103585info:eu-repo/semantics/reference/hdl/10915/103585info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:22:57Zoai:sedici.unlp.edu.ar:10915/104769Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:22:57.94SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Are statistics and machine learning enough to make predictions and forecasts?
title Are statistics and machine learning enough to make predictions and forecasts?
spellingShingle Are statistics and machine learning enough to make predictions and forecasts?
Lorenzo, Antonio
Ciencias Informáticas
Forecast
Trend
Prediction
Statistics
Machine Learning
Expert Knowledge
title_short Are statistics and machine learning enough to make predictions and forecasts?
title_full Are statistics and machine learning enough to make predictions and forecasts?
title_fullStr Are statistics and machine learning enough to make predictions and forecasts?
title_full_unstemmed Are statistics and machine learning enough to make predictions and forecasts?
title_sort Are statistics and machine learning enough to make predictions and forecasts?
dc.creator.none.fl_str_mv Lorenzo, Antonio
Olivas, José A.
author Lorenzo, Antonio
author_facet Lorenzo, Antonio
Olivas, José A.
author_role author
author2 Olivas, José A.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Forecast
Trend
Prediction
Statistics
Machine Learning
Expert Knowledge
topic Ciencias Informáticas
Forecast
Trend
Prediction
Statistics
Machine Learning
Expert Knowledge
dc.description.none.fl_txt_mv Currently the techniques used to predict the future are statistical and machine learning techniques. The first continues the trend of historical data. The second learns from previous cases training. Both use historical information but do not take in mind key factors that can make the final result change. A knowledge-based framework is presented that allows predictions of some kind ofevents to be made using artificial intelligence techniques. This requires an expert to enter the key factors that can change the trend of historical data into the system.The current framework has been applied prior to happening to two use cases, obtaining good preliminary results, in the framework of the developing of a PhD Thesis.
Instituto de Investigación en Informática
Instituto de Investigación en Informática
description Currently the techniques used to predict the future are statistical and machine learning techniques. The first continues the trend of historical data. The second learns from previous cases training. Both use historical information but do not take in mind key factors that can make the final result change. A knowledge-based framework is presented that allows predictions of some kind ofevents to be made using artificial intelligence techniques. This requires an expert to enter the key factors that can change the trend of historical data into the system.The current framework has been applied prior to happening to two use cases, obtaining good preliminary results, in the framework of the developing of a PhD Thesis.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/104769
url http://sedici.unlp.edu.ar/handle/10915/104769
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-1927-4
info:eu-repo/semantics/reference/hdl/10915/103585
info:eu-repo/semantics/reference/hdl/10915/103585
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
27-30
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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