As the number and size of large timestamped collections (eg sequences of digitized
newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching such …

This chapter addresses the case of multivariate time-series clustering and utilizes spatiotemporal
data as specific application domain of interest. Time-series data is one of the most …

A large number of mainstream applications, like temporal search, event detection, and trend
identification, assume knowledge of the timestamp of every document in a given textual …

Over the last few years, blogs (web logs) have gained massive popularity and have become
one of the most influential web social media in our times. Every blog post in the …

This PhD thesis addresses different challenges in searching temporal document sequences,
where documents are created and/or edited over time, and the contents of documents are …

In this demonstration, we are presenting SmartMonitor, a distributed Structural Health Monitoring
(SHM) system consisting of smart devices. Over the last few years, the vast majority of …

Users in social networks use hashtags for various reasons, some of them being serving
search purposes, gaining attention or popularity or starting new conversation - thus, creating …

Users in social networks utilize hashtags for a variety of reasons. In many cases, hashtags
serve retrieval purposes by labeling the content they accompany. More often than not, …

Efficient data dissemination in MANETs presents a significant challenge. Epidemic dissemination
is introduced as a method to reliably spread information (context) across a network in …

We present a Software Keyboard for smart touchscreen devices that learns its owner's unique
dictionary in order to produce personalized typing predictions. The learning process is …