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Visual trajectory pattern mining: An exploratory study in baggage handling systems
Teradata Corporation.
Department of Business Informatics and Operations, German University in Cairo (GUC), Cairo.ORCID iD: 0000-0003-4250-4752
2014 (English)In: Advances in data mining: Advances in data mining : applications and theoretical aspects : 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings / [ed] Petra Perner, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2014, p. 159-173Conference paper, Published paper (Refereed)
Abstract [en]

There is currently a huge amount of data being collected about movements of objects. Such data is called spatiotemporal data and paths left by moving-objects are called trajectories. Recently, researchers have been targeting those trajectories for extracting interesting and useful knowledge by means of pattern analysis and data mining. But, it is difficult to analyse huge datasets of trajectories without summarizing them and visualizing them for the knowledge seeker and for the decision makers. Therefore, this research paper focuses on utilizing visual techniques and data mining analysis of trajectory patterns in order to help extract patterns and knowledge in an interactive approach. The research study proposes a research framework which integrates multiple data analysis and visualization techniques in a coherent architecture in support of interactive trajectory pattern visualization for the decision makers. An application case-study of the techniques is conducted on an airport's baggage movement data within the Baggage Handling System (BHS). The results indicate the feasibility of the approach and its methods in visually analysing trajectory patterns in an interactive approach which can support the decision maker. © 2014 Springer International Publishing Switzerland.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2014. p. 159-173
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8557
Keywords [en]
Baggage Handling System Data, Business Intelligence, Frequent Pattern Mining, Trajectory Pattern Mining, Visual Analytics
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-27743DOI: 10.1007/978-3-319-08976-8_12Scopus ID: 84905451127Local ID: 1489605d-e4aa-4474-a53e-0fe3fda30313ISBN: 9783319089751 (print)ISBN: 978-3-319-08976-8 (print)OAI: oai:DiVA.org:ltu-27743DiVA, id: diva2:1000932
Conference
Industrial Conference on Advances in Data Mining : Applications and Theoretical Aspects 16/07/2014 - 20/07/2014
Note

Upprättat; 2014; 20150617 (ahmelr)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Publisher's full textScopushttp://link.springer.com/chapter/10.1007/978-3-319-08976-8_12

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Elragal, Ahmed

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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