Clustering is a solution for classifying enormous data when there is not any early knowledge
about classes. With emerging new concepts like cloud computing and big data and their vast …

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 …

The previous decade has brought a remarkable increase of the interest in applications that
deal with querying and mining of time series data. Many of the research efforts in this context …

The last decade has witnessed a tremendous growths of interests in applications that deal
with querying and mining of time series data. Numerous representation methods for …

From basic data mining concepts to state-of-the-art advances, this book covers the theory of
the subject as well as its application in a variety of fields. It discusses the incorporation of …

The problem of time series classification has attracted great interest in the last decade.
However current research assumes the existence of large amounts of labeled training data …

Many methods of dimensionality reduction of data series (time series) have been introduced
over the past decades. Some of them rely on a symbolic representation of the original data …

For long time series, it is crucial to design low-dimensional representations that preserve the
fundamental characteristics of a series. However, most of the approximate representations …

Time series classification is an important task in its own right, and it is often a precursor to
further downstream analytics. To date, virtually all works in the literature have used either …