As the volume of available data created from social media grows, creating value out of this information becomes an interesting challenge. This work presents an approach to identify a users country of origin from just looking ...

Detection of changes in streaming data is an important mining task, with a wide range of real-life ap- plications. Numerous algorithms have been proposed to efficiently detect changes in streaming data. However, the ...

Authorship identification is a technique used to identify anonymous documents by identifying and extracting an authors stylometric features. The focus of this thesis is to apply an authorship identification technique, ...

When searching for information, the temporal dimension of the results is an important fac-tor regarding the information quality. Using temporal intent as a condition when searchingfor information is a field that is gaining ...

In the last decade, the world wide web has grown from being a platform where users passively viewed content, to an active platform where the users themselves contributed with new content. With this came an explosion of ...

The focus of this thesis is on investigating efficient database algorithmsand methods for modern multi-core processors in main memory environments.We describe central features of modern processors in a historic perspectivebefore ...

Dense subregion (subgraph & subtensor) detection is a well-studied area, with a wide range of applications, and numerous efficient approaches and algorithms have been proposed. Approximation approaches are commonly used ...

I en verden hvor sosiale medier har blitt brennhett og genererer enorme mengder data er det enormt potensiale i forsking og analysiering av denne dataen. Hva folk tenker og mener om ting, hvor de befinner seg og hva som ...

By "checking into'' various points-of-interest (POIs), users create a rich source of location-based social network data that can be used in expressive spatio-social queries. This paper studies the use of popularity as a ...

As document searching becomes more and more important with the rapid growth of document bases today, document clustering also becomes more important. Some of the most commonly used document clustering algorithms today, are ...