Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor

Анастасия Дмитриевна Малышева, Антон Андреевич Ракитский

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Выдержка

In this paper we present the algorithm of calculation of the Krichevsky's predictor and R-measure based on it. This algorithm allows to compute the predictor in linear time. We present the description of the algorithm, some of its features and the results of its application. In addition, we present the results of comparative analysis of R-measure and other prediction methods application on real time series problems.
Язык оригиналаанглийский
Название основной публикацииSIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
Число страниц4
ISBN (электронное издание)978-1-7281-4401-6
DOI
СостояниеОпубликовано - 16 янв 2020

Отпечаток

Time series

Цитировать

Малышева, А. Д., & Ракитский, А. А. (2020). Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor. В SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings https://doi.org/10.1109/SIBIRCON48586.2019.8958150
Малышева, Анастасия Дмитриевна ; Ракитский, Антон Андреевич. / Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor. SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. 2020.
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abstract = "In this paper we present the algorithm of calculation of the Krichevsky's predictor and R-measure based on it. This algorithm allows to compute the predictor in linear time. We present the description of the algorithm, some of its features and the results of its application. In addition, we present the results of comparative analysis of R-measure and other prediction methods application on real time series problems.",
author = "Малышева, {Анастасия Дмитриевна} and Ракитский, {Антон Андреевич}",
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Малышева, АД & Ракитский, АА 2020, Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor. в SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. https://doi.org/10.1109/SIBIRCON48586.2019.8958150

Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor. / Малышева, Анастасия Дмитриевна; Ракитский, Антон Андреевич.

SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. 2020.

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

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PY - 2020/1/16

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AB - In this paper we present the algorithm of calculation of the Krichevsky's predictor and R-measure based on it. This algorithm allows to compute the predictor in linear time. We present the description of the algorithm, some of its features and the results of its application. In addition, we present the results of comparative analysis of R-measure and other prediction methods application on real time series problems.

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Малышева АД, Ракитский АА. Application and Analysis of Time Series Prediction Efficient Methods Based on the Krichevsky Predictor. В SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. 2020 https://doi.org/10.1109/SIBIRCON48586.2019.8958150