SAZED: parameter-free domain-agnostic season length estimation in time series data

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
JournalData Mining and Knowledge Discovery
Publication statusPublished - 26 Jul 2019

Cite this

@article{e7b0ad445ea04e1aba6901882044b779,
title = "SAZED: parameter-free domain-agnostic season length estimation in time series data",
author = "Maximilian Toller and {Teixeira dos Santos}, {Tiago Filipe} and Roman Kern",
year = "2019",
month = "7",
day = "26",
language = "English",
journal = "Data Mining and Knowledge Discovery",
issn = "1384-5810",
publisher = "Springer Science+Business Media",

}

TY - JOUR

T1 - SAZED: parameter-free domain-agnostic season length estimation in time series data

AU - Toller, Maximilian

AU - Teixeira dos Santos, Tiago Filipe

AU - Kern, Roman

PY - 2019/7/26

Y1 - 2019/7/26

M3 - Article

JO - Data Mining and Knowledge Discovery

JF - Data Mining and Knowledge Discovery

SN - 1384-5810

ER -