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Trajectory data analysis in support of understanding movement patterns: A data mining approach
Teradata Egypt.
German University in Cairo.ORCID iD: 0000-0003-4250-4752
2012 (English)In: 18th Americas conference on information systems 2012: Seattle, Washington, USA, 9-12 August 2012., Curran Associates, Inc., 2012, 1695-1702 p.Conference paper (Refereed)
Abstract [en]

Recent developments in wireless technology, mobility and networking infrastructures increased the amounts of data being captured every second. Data captured from the digital traces of moving objects and devices is called trajectory data. With the increasing volume of spatiotemporal trajectories, constructive and meaningful knowledge needs to be extracted. In this paper, a conceptual framework is proposed to apply data mining techniques on trajectories and semantically enrich the extracted patterns. A design science research approach is followed, where the framework is tested and evaluated using a prototypical instantiation, built to support decisions in the context of the Egyptian tourism industry. By applying association rule mining, the revealed time-stamped frequently visited regions of interest (ROI) patterns show that specific semantic annotations are required at early stages in the process and on lower levels of detail, refuting the presumption of cross-application usable patterns

Place, publisher, year, edition, pages
Curran Associates, Inc., 2012. 1695-1702 p.
Research subject
Information systems
URN: urn:nbn:se:ltu:diva-34788Local ID: 913ea015-a65f-4ed0-aab7-a5036d26edecOAI: diva2:1008039
Americas Conference on Information Systems : 09/08/2012 - 12/08/2012
Upprättat; 2012; 20150624 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-02-15

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