… time series clustering as part of the effort in temporal data mining research. To provide an
overview, this paper surveys … of time series data in various application domains. The basics of …

… We will briefly review the PAA technique before considering … show that many previously
unsolvable motif discovery … wish to discover motifs defined on the original raw data. Figure 16 …

… applications in various time series domains under a … time series datasets. By training 8730
deep learning models on 97 time series datasets, we propose the most exhaustive study of …

… me with insight into the development of the subject of time series and in convincing me that
the structural approach to time series modelling is indeed the best way to proceed. Outside …

… That is, for the pattern recognition of dichotomous data, the dual GHSOM approach is proposed
… study proposes a novel application of unsupervised Neural Networks for effective pattern …

… This paper provides an up-to-date survey of Web Usage min… , or output from the pattern
discovery algorithms. For example, … the sessions before or after pattern discovery. In order to run …

… Many of pioneering studies on pattern discovery for graph and network data focused on …
The major finding in our study is that, for multiple heterogenous network data across diverse …

… We cannot review them here. The interested reader, however… and survival prediction, DNA
motif detection, gene clustering, … of charge estimation, time series prediction, predictions of …

… in any aspect of the analysis, including the motif discovery phase. The complete analysis is
… Motifs M14a and M14b were identified in this study. c, The occurrence of the motif across all …

… In this technique the authors transform the multivariate time-series to a univariate time-series
by linearly combining the components of the multivariate timeseries. The interesting linear …