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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8677

Title: Study of mobility patterns
Authors: ENGELS, Steven
Advisors: KUIJPERS, B.
Issue Date: 2008
Publisher: tUL Diepenbeek
Abstract: A trajectory can be observed from a geometric point of view, a curve through space, but also from a semantic point of view, by using background information to interpret its course. This allows us to define semantically enriched trajectories, which are annotated with background information. These semantically enriched trajectories show movement behavior. As any type of behavior shows patterns, it is interesting to find these in movement. One option to analyze trajectories is association analysis, a group of techniques with the purpose of finding rules describing found patterns. Apriori is one of the most important association analysis tools. This algorithm has already been adapted to process sequential data, a class of data models trajectories belong to, resulting in AprioriAll. The goal of this work is to describe an Apriori implementation that is adapted to the specifications of semantically enriched trajectories. Our algorithm focuses on the specific nature of trajectories by defi
Notes: master in de informatica - databases
URI: http://hdl.handle.net/1942/8677
Category: T2
Type: Theses and Dissertations
Appears in Collections: Eindverhandelingen 2007-2008

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