Location-based algorithms for events on the Web (based on Twitter data)

Vjatšeslav Krõšin
With this master's thesis the performance of different algorithms was tested using data from Twitter. The goal of this study was to test the performance of the algorithms when processing large-scale data (when displaying a map) and to try to get the data to the final user as quickly as possible with it being appropriately filtered and clustered. The data can be seen on the map in an aggregated state but also in a disaggregated state. With this web application it is also possible to search for a certain location with freely chosen radius in which only the points in a fixed radius are mapped. In order to cluster the points and cal-culate the distances, different algorythms were used and their speed compared. To quicken the database queries, changing hardware was also tried. The data used is Twitter data offered by The University of Tartu where there are over 24 million entities.
Graduation Thesis language
Graduation Thesis type
Master - Information Technology
Elis Kõivumägi
Defence year
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