mTSeer: Interactive Visual Exploration of Models on Multivariate Time-series Forecast-Reference-Cited by-同舟云学术

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mTSeer: Interactive Visual Exploration of Models on Multivariate Time-series Forecast

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Xu Ke¹,Yuan Jun²,Wang Yifang³,Silva Claudio⁴,Bertini Enrico⁵

Affiliation:

1. Computer Science and Engineering New York University, United States

2. Tandon School of Engineering New York University, United States

3. Department of Computer Science and Engineering The Hong Kong University of Science and Technology, China

4. New York University, United States

5. NYU, United States

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445083

Reference61 articles.

1. An Empirical Comparison of Machine Learning Models for Time Series Forecasting

2. Visual Methods for Analyzing Time-Oriented Data

3. An introduction to kernel and nearest-neighbor nonparametric regression;Altman S;The American Statistician,1992

4. A survey of cross-validation procedures for model selection

5. Error measures for generalizing about forecasting methods: Empirical comparisons

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