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 …

Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …

Automatic diagnosis of the Sleep Apnea‐Hypopnea Syndrome (SAHS) has become an
important area of research due to the growing interest in the field of sleep medicine and the …

A large volume of research in temporal data mining is focusing on discovering temporal
rules from time-stamped data. The majority of the methods proposed so far have been …

OBJECTIVE:: This paper describes the temporal data mining aspects of a research project
that deals with the definition of methods and tools for the assessment of the clinical …

We present a unifying view of temporal concepts and data models in order to categorize
existing approaches for unsupervised pattern mining from symbolic temporal data. In …

An important goal of knowledge discovery is the search for patterns in data that can help
explain the underlying process that generated the data. The patterns are required to be new …

In the days of data mining, the number of competing classification techniques is growing
steadily. These techniques are developed in different scientific communities and on the …

In most challenging applications learning algorithms acts in dynamic environments where
the data is collected over time. A desirable property of these algorithms is the ability of …

The symbolic representation of time series has attracted much research interest recently.
The high dimensionality typical of the data is challenging, especially as the time series …