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 …

Motivation: Genetic recombination and, in particular, genetic shuffling are at odds with
sequence comparison by alignment, which assumes conservation of contiguity between …

The parallel explosions of interest in streaming data, and data mining of time series have
had surprisingly little intersection. This is in spite of the fact that time series data are typically …

Many high level representations of time series have been proposed for data mining,
including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models, etc …

Given the recent explosion of interest in streaming data and online algorithms, clustering of
time-series subsequences, extracted via a sliding window, has received much attention. In …

Several important time series data mining problems reduce to the core task of finding
approximately repeated subsequences in a longer time series. In an earlier work, we …

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 …

Advances in computers and biotechnology have had a profound impact on biomedical
research, and as a result complex data sets can now be generated to address extremely …

The problem of finding a specified pattern in a time series database (ie query by content)
has received much attention and is now a relatively mature field. In contrast, the important …

The purpose of this thesis is twofold. First we investigate the problem of finding meaningful
geometric descriptions of data sets. The approach that we propose is based upon diffusion …