Paper Info
Title
From Pattern Discovery to Pattern Interpretation in Movement Data
Abstract
The widespread use of positioning technologies ranging from GSM and GPS to WiFi devices, tend to produce large-scale datasets of trajectories, representing the movement of travelling entities. Several applications may benefit from mining such datasets. However, mining results only become truly useful and meaningful for the end user when the intrinsically complex nature of the movement data in terms of context is taken into account during the discovery process. For this reason we propose a pattern interpretation framework that consists of three main steps, namely, pattern discovery, semantic annotation and pattern analysis. The framework supports the understanding of movement patterns that were extracted using some trajectory mining algorithm. To demonstrate the feasibility and effectiveness of the framework, we performed an experiment with the Dwingelderveld National Park (DNP) dataset, which contains records of observations on the movement of visitors in the park. As a result, some forms of interaction, such as certain groups of visitors following the most popular path in the park, were inferred after completing the steps of the framework.
Year
DOI
Venue
2010
10.1109/ICDMW.2010.144
Data Mining Workshops
Keywords
Field
DocType
pattern discovery,movement data,movement pattern,mining result,pattern interpretation,trajectory mining algorithm,pattern interpretation framework,pattern analysis,discovery process,dwingelderveld national park,large-scale datasets,trajectory,correlation,gsm,algorithm design and analysis,gps,data analysis,semantics,data mining
Data mining,GSM,Algorithm design,End user,Computer science,Positioning technology,Global Positioning System,Business process discovery,Semantics,Trajectory
Conference
ISBN
Citations 
PageRank 
978-0-7695-4257-7
3
0.42
References 
Authors
16
4
Name
Order
Citations
PageRank
Rebecca Ong1312.95
Monica Wachowicz226333.64
Mirco Nanni3141284.47
Chiara Renso492576.04