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Engineering Proceedings, Volume 5, Issue 1

ITISE 2021 2021 - 59 articles

The 7th International Conference on Time Series and Forecasting

Gran Canaria, Spain | 19–21 July 2021

Volume Editors: 
Ignacio Rojas, University of Granada, Spain
Fernando Rojas, University of Granada, Spain
Luis Javier Herrera, University of Granada, Spain
Hector Pomares, University of Granada, Spain

ISBN 978-3-0365-1731-5 (Hbk); ISBN 978-3-0365-1732-2 (PDF)

Cover Story: The ITISE 2021 (7th International Conference on Time Series and Forecasting) seeks to provide a discussion forum for scientists, engineers, educators, and students about the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, forecaster, econometric, etc., in the field of time series analysis and forecasting.
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Articles (59)

  • Proceeding Paper
  • Open Access
2 Citations
2,355 Views
8 Pages

Terrestrial laser scanners (TLS) capture a large number of 3D points rapidly, with high precision and spatial resolution. These scanners are used for applications as diverse as modeling architectural or engineering structures, but also high-resolutio...

  • Proceeding Paper
  • Open Access
3 Citations
2,142 Views
10 Pages

The current pandemic situation of SARS-Cov-2 is negatively influencing people worldwide, and leading to high mortality and excess mortality, due to more reasons than only the disease itself. Thus, forecasting of the mortality rates and consequent pop...

  • Proceeding Paper
  • Open Access
2,165 Views
9 Pages

Simulation-based forecast model selection considers two candidate forecast model classes, simulates from both models fitted to data, applies both forecast models to simulated structures, and evaluates the relative benefit of each candidate prediction...

  • Proceeding Paper
  • Open Access
4 Citations
2,813 Views
11 Pages

Real-world time series data often contain missing values due to human error, irregular sampling, or unforeseen equipment failure. The ability of a computational interpolation method to repair such data greatly depends on the characteristics of the ti...

  • Proceeding Paper
  • Open Access
18 Citations
7,337 Views
11 Pages

Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model

  • Giulia Moschini,
  • Régis Houssou,
  • Jérôme Bovay and
  • Stephan Robert-Nicoud

This paper addresses the problem of the unsupervised approach of credit card fraud detection in unbalanced datasets using the ARIMA model. The ARIMA model is fitted to the regular spending behaviour of the customer and is used to detect fraud if some...

  • Proceeding Paper
  • Open Access
4 Citations
5,733 Views
17 Pages

The Matrix Profile (MP) algorithm has the potential to revolutionise many areas of data analysis. In this article, several applications to financial time series are examined. Several approaches for the identification of similar behaviour patterns (or...

  • Proceeding Paper
  • Open Access
1 Citations
3,240 Views
11 Pages

As the world’s largest exporter and second-largest importer, China has made exchange rate stability a top priority for its economic growth. With development over decades, however, China now holds excess dollar reserves that have suffered a huge paper...

  • Proceeding Paper
  • Open Access
2 Citations
2,789 Views
9 Pages

Predictability of Scrub Typhus Incidences Time Series in Thailand

  • Valeria Bondarenko,
  • Pierre Mazzega and
  • Claire Lajaunie

Scrub typhus, an infectious disease caused by a bacterium transmitted by “chigger” mites, constitutes a public health problem in Thailand. Predicting epidemic peaks would allow implementing preventive measures locally. This study analyses the predict...

  • Proceeding Paper
  • Open Access
9 Citations
3,873 Views
10 Pages

In the age of AI, companies strive to extract benefits from data. In the first steps of data analysis, an arduous dilemma scientists have to cope with is the definition of the ’right’ quantity of data needed for a certain task. In particular, when de...

  • Proceeding Paper
  • Open Access
12 Citations
3,490 Views
8 Pages

Epidemiology maths resorts to Susceptible-Infected-Recovered (SIR)-like models to describe contagion evolution curves for diseases such as Covid-19. Other time series estimation approaches can be used to fit and forecast curves. We use data from the...

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Eng. Proc. - ISSN 2673-4591