Nov 26, 2014 · In this work, we propose a novel technique to detect periods in time series data by learning the repeated patterns (motifs) from data. To the ...
This work presents a novel and simple method to detect periods on time series data based on recurrent patterns and shows that this approach is superior ...
Figure 11: Mapping on 2D of pairwise distances between several sequences. The similarity measure utilized was the power based similarity.
In this paper, we develop an algorithm that mines periodic patterns in time series databases with unknown or obscure periods such that discovering the period is ...
Abstract. This paper addresses the problem of activity and event discovery in multi dimensional time series data by proposing a novel method for locating ...
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Senin, MBPD: Motif-Based Period Detection, Proc. of PAKDD'14, pp.793-804 ... Uehara, Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL ...
TL;DR: This work presents a novel and simple method to detect periods on time series data based on recurrent patterns and shows that this approach is superior ...
This work utilizes the notion of time series motifs for approximate period detection. Specifically, we present a novel and simple method to detect periods on ...
Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous ...