A Polynomial-Time Approximation Algorithm for One Problem Simulating the Search in a Time Series for the Largest Subsequence of Similar Elements Научная публикация
Журнал |
Pattern Recognition and Image Analysis
ISSN: 1054-6618 , E-ISSN: 1555-6212 |
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Вых. Данные | Год: 2018, Том: 28, Номер: 3, Страницы: 363-370 Страниц : 8 DOI: 10.1134/s1054661818030094 | ||||
Ключевые слова | Euclidean space; longest subsequence; NP-hard problem; polynomial-time approximation algorithm; quadratic scatter; similar elements; time-series analysis | ||||
Авторы |
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Организации |
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Библиографическая ссылка:
Kel’manov A.V.
, Khamidullin S.A.
, Khandeev V.I.
, Pyatkin A.V.
, Shamardin Y.V.
, Shenmaier V.V.
A Polynomial-Time Approximation Algorithm for One Problem Simulating the Search in a Time Series for the Largest Subsequence of Similar Elements
Pattern Recognition and Image Analysis. 2018. V.28. N3. P.363-370. DOI: 10.1134/s1054661818030094 Scopus OpenAlex
A Polynomial-Time Approximation Algorithm for One Problem Simulating the Search in a Time Series for the Largest Subsequence of Similar Elements
Pattern Recognition and Image Analysis. 2018. V.28. N3. P.363-370. DOI: 10.1134/s1054661818030094 Scopus OpenAlex
Идентификаторы БД:
Scopus: | 2-s2.0-85053480541 |
OpenAlex: | W2890007239 |
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Пока нет цитирований