Time series is an important class of temporal data objects and it can be easily obtained from
scientific and financial applications. A time series is a collection of observations made …

Adaptive and innovative application of classical data mining principles and techniques in
time series analysis has resulted in development of a concept known as time series data …

The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …

The problem of indexing time series has attracted much interest. Most algorithms used to
index time series utilize the Euclidean distance or some variation thereof. However, it has …

In the last decade there has been an explosion of interest in mining time series data.
Literally hundreds of papers have introduced new algorithms to index, classify, cluster and …

In recent years, there has been an explosion of interest in mining time-series databases. As
with most computer science problems, representation of the data is the key to efficient and …

In recent years, there has been an explosion of interest in mining time series databases. As
with most computer science problems, representation of the data is the key to efficient and …

1 Introduction Time series are a ubiquitous form of data occurring in virtually every scientific
discipline and business application. There has been much recent work on adapting data …

To deal with the great number of untrimmed videos produced every day, we propose an
efficient unsupervised action segmentation method by detecting boundaries, named action …

The problem of curve matching appears in many application domains, like time series
analysis, shape matching, speech recognition, and signature verification, among others …