In almost every scientific field, measurements are performed over time. These observations
lead to a collection of organized data called time series. The purpose of time-series data …

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

We investigate techniques for analysis and retrieval of object trajectories in two or three
dimensional space. Such data usually contain a large amount of noise, that has made …

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 …

Similarity search in large time series databases has attracted much research interest
recently. It is a difficult problem because of the typically high dimensionality of the data.. The …

We propose a discrete choice framework for pedestrian dynamics, modelling short term
behavior of individuals as a response to the presence of other pedestrians. We use a …

The problem of efficiently locating previously known patterns in a time series database (ie,
query by content) has received much attention and may now largely be regarded as a …

Similarity search in large time series databases has attracted much research interest
recently. It is a difficult problem because of the typically high dimensionality of the data. The …