Прогнозирование на основе новостного потока посредством ассоциативных правил

Loading...
Thumbnail Image

Date

item.page.orcid

DOI

item.page.thesis.degree.name

item.page.thesis.degree.level

item.page.thesis.degree.discipline

item.page.thesis.degree.department

item.page.thesis.degree.grantor

item.page.thesis.degree.advisor

item.page.thesis.degree.committeeMember

Journal Title

Journal ISSN

Volume Title

Publisher

НТУ "ХПИ"

Abstract

Subject of this paper are methods of short-term price forecasting on the example of polymer market appliable to the electricity market. Experimentally confi rmed the superiority of the methods of price forecasting based on news fl ow through association rules over regression methods

Description

Citation

Черенков И. А. Прогнозирование на основе новостного потока посредством ассоциативных правил / И. А. Черенков // Энергосбережение. Энергетика. Энергоаудит = Energy saving. Power engineering. Energy audit. – 2012. – № 11. – С. 38-42.

Endorsement

Review

Supplemented By

Referenced By