Twin Subsequence Search in Time Series

Autor:	Chatzigeorgakidis, Georgios, Skoutas, Dimitrios, Patroumpas, Kostas, Palpanas, Themis, Athanasiou, Spiros, Skiadopoulos, Spiros
Rok vydání:	2021
Předmět:	Computer Science - Data Structures and Algorithms 68P05 E.1
Druh dokumentu:	Working Paper
Popis:	We address the problem of subsequence search in time series using Chebyshev distance, to which we refer as twin subsequence search. We first show how existing time series indices can be extended to perform twin subsequence search. Then, we introduce TS-Index, a novel index tailored to this problem. Our experimental evaluation compares these approaches against real time series datasets, and demonstrates that TS-Index can retrieve twin subsequences much faster under various query conditions. This paper has been published in the 24th International Conference on Extending Database Technology (EDBT 2021). Comment: 6 pages, 8 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2104.06874 Zobrazit plný text záznamu View this record from Arxiv