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eNauka >  Results >  mSIMPAD: Efficient and Robust Mining of Successive Similar Patterns of Multiple Lengths in Time Series
Title: mSIMPAD: Efficient and Robust Mining of Successive Similar Patterns of Multiple Lengths in Time Series
Authors: Li, Chun tung; Cao, Jiannong; Liu, Xue; Stojmenovic, Milos
Issue Date: 2020
Publication: ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE
ISSN: 2691-1957 ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE Search Idenfier
Type: Article
Collation: vol. 1 br. 4 str. 1-19
DOI: 10.1145/3396250
WoS-ID: 001408227700007
Scopus-ID: 2-s2.0-85123948291
URI: https://enauka.gov.rs/handle/123456789/991683
Project: National Key R&D Program of China [2018YFB1004801]
Research Grants Council of Hong Kong under RGC [C5026-18G]
Serbian Ministry of Science and Education [TR32054]
Metadata source: (Preuzeto iz Nasi u WoS)
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