Unsupervised semantic segmentation in the time series domain is a much studied problem
due to its potential to detect unexpected regularities and regimes in poorly understood data …

At their core, many time series data mining algorithms reduce to reasoning about the shapes
of time series subsequences. This requires an effective distance measure, and for last two …

In the big data era, many existing machine learning algorithms are not applicable due to
various performance constraints. In this thesis, approaches using online optimization and …