Machine Learning Tools to Time Series Forecasting

2007 ◽  
Author(s):  
K. Ramírez-Amaro ◽  
J. C. Chimal-Eguía
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Time Series Forecasting ◽  
Learning Tools

Deep Learning for text in limted data settings

2020 ◽  
Author(s):  
Pathikkumar Patel ◽  
Bhargav Lad ◽  
Jinan Fiaidhi
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Deep Learning ◽  
Sentiment Analysis ◽  
Transfer Learning ◽  
Text Classification ◽  
State Of The Art ◽  
Time Series Forecasting ◽  
Text Data ◽  
Performance Levels

During the last few years, RNN models have been extensively used and they have proven to be better for sequence and text data. RNNs have achieved state-of-the-art performance levels in several applications such as text classification, sequence to sequence modelling and time series forecasting. In this article we will review different Machine Learning and Deep Learning based approaches for text data and look at the results obtained from these methods. This work also explores the use of transfer learning in NLP and how it affects the performance of models on a specific application of sentiment analysis.

An intelligent hybridization of ARIMA with machine learning models for time series forecasting

2019 ◽  
Vol 175 ◽  
pp. 72-86 ◽  
Author(s):  
Domingos S. de O. Santos Júnior ◽  
João F.L. de Oliveira ◽  
Paulo S.G. de Mattos Neto
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Time Series Forecasting ◽  
Learning Models ◽  
Machine Learning Models

An Empirical Comparison of Machine Learning Models for Time Series Forecasting

2010 ◽  
Vol 29 (5-6) ◽  
pp. 594-621 ◽  
Author(s):  
Nesreen K. Ahmed ◽  
Amir F. Atiya ◽  
Neamat El Gayar ◽  
Hisham El-Shishiny
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Time Series Forecasting ◽  
Learning Models ◽  
Empirical Comparison ◽  
Machine Learning Models

scholarly journals Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting

2021 ◽  
pp. 100204
Author(s):  
Ari Yair Barrera-Animas ◽  
Lukumon Oladayo Oyedele ◽  
Muhammad Bilal ◽  
Taofeek Dolapo Akinosho ◽  
Juan Manuel Davila Delgado ◽  
...  
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Comparative Analysis ◽  
Learning Algorithms ◽  
Time Series Forecasting ◽  
Machine Learning Algorithms ◽  
Rainfall Prediction ◽  
Modern Machine

scholarly journals Machine Learning Models for Sales Time Series Forecasting

2018 ◽  
Author(s):  
Bohdan M. Pavlyshenko
Keyword(s):  
Machine Learning ◽  
Time Series ◽  
Predictive Models ◽  
Time Series Forecasting ◽  
Learning Models ◽  
Learning Generalization ◽  
Machine Learning Models

In this paper, we study the usage of machine learning models for sales time series forecasting. The effect of machine learning generalization has been considered. A stacking approach for building regression ensemble of single models has been studied. The results show that using stacking technics, we can improve the performance of predictive models for sales time series forecasting.

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