In this paper, we address the problem of semantic similarity search over spatio-textual data. In contrast with most existing works on spatial-keyword search that rely on exact matching of query keywords to textual ...

This thesis studies existing techniques for both spatial join and interval join. Us- ing existing methods and algorithms for join operations two new algorithms for spatio-interval join is developed. Parallelization techniques ...

Mer og mer data produsert I dag er knyttet til et geografisk punkt. Denne type data, er sjeldent kun romslig. Vanligvis er den koblet med et sett nøkkelord. Disse nøkkelordene kan beskrive lokasjonen, noe som skjedde der ...

The amount of information on the web is ever growing, and analysing and making sense ofthis is difficult without specialised tools. The concept of Big Data is the field of processing and storing these enormous quantities ...

This article introduces a highly efficient pattern mining technique called Clustering-based Pattern Mining (CBPM). This technique discovers relevant patterns by studying the correlation between transactions in the transaction ...

Utbredelsen av GPS-kompatible mobile enheter som lar brukere loggføre sine geografiske posisjon samt spore bevegelser over tid, har gitt opphav til flere nye ulike applikasjoner. Disse applikasjonene har belyst nye problemer ...

In news articles the focus on named entities is quite common and usually a news case is tied around a person, a company, or similar. One challenge from an information retrieval point of view is that one entity often have ...

Previous approaches to solve the trajectory outlier detection problem exclusively examine single outliers. However, anomalies in trajectory data may often occur in groups. This paper introduces a new problem, group trajectory ...

In the scope of this thesis we are addressing two challenges, automated information extraction and its comprehensible visualization. The first part is concerned with identification of possibly interesting financial data ...

Association rules mining is one of the the most relevant techniques of data mining. It has been also applied in the domain of text mining, but the results are hard to interpret. In this matter, an Association Network is ...