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Machine Learning Strategies for Time Series Forecasting

Gianluca Bontempi, Souhaib Ben Taieb, Yann‐Aël Le Borgne

2013-01-01otherLecture notes in business information processing568 citationsclosed

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Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 568 citations exist upstream.

References

1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation

1998Forecasting with artificial neural networks:

200625 years of time series forecasting

1994Time series prediction: Forecasting the future and understanding the past

2010An Empirical Comparison of Machine Learning Models for Time Series Forecasting

2012A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

Cited by

2019Criteria for classifying forecasting methods

2017Variable Selection in Time Series Forecasting Using Random Forests

2020Daily retail demand forecasting using machine learning with emphasis on calendric special days

2019Long-term forecast of energy commodities price using machine learning

2021ESG score prediction through random forest algorithm

2022Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India

2023Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs

2020A novel validation framework to enhance deep learning models in time-series forecasting

Details

Year2013

Typeother

VenueLecture notes in business information processing

Languageen

Files0 public / 0

Identifiers

doi10.1007/978-3-642-36318-4_3

openalex_workW1547333707

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