In the last decade there has been an increasing interest in mining time series data and
several distance measures and representations have been proposed. This paper presents …

In the domain of time series, different dissimilarity measures are applied for comparing
sequences, the most successful ones being based on dynamic programming. Such …

Searching for similarity in time series finds still broader applications in data mining.
However, due to the very broad spectrum of data involved, there is no possibility of defining …

In order to better reflect the morphological characteristics of time series, and explore more
suitable methods for evaluating a longer time series similarity, this paper proposed a …

While many application papers involving time series data report about the beneficial
application of filters, filtering (and preprocessing in general) plays at best a minor role in the …

Similarity measure and visualization are two of the most interesting tasks in time series data
mining and attract much attention in the last decade. Some representations have been …

A análise de séries temporais gera muitos desafios para profisionais em um grande número
de domínios. Várias soluções de visualização integrada com algoritmos de mineração já …

Similarity measure of time series is a fundamental problem in data mining tasks. However,
most of the similarity methods are mainly for univariate time series, rather than multivariate …

The problem of similarity measures is a major area of interest within the field of time series
classification (TSC). With the ubiquitous of long time series and the increasing demand for …