Multivariate higher order information for emergency management based on tourism trajectory datasets

Wang, Ye, Lee, Kyungmi, and Lee, Ickjai (2016) Multivariate higher order information for emergency management based on tourism trajectory datasets. In: Lecture Notes in Artificial Intelligence (9799), pp. 725-736. From: IEA/AIE 2016: 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2-4 August 2016, Morioka, Japan.

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Abstract

Higher order information of trajectory dataset for "what-if" analysis is getting more popular for providing better informed decision making. However, existing research had been studied trajectory higher order information based on univariate dataset only. There is yet no research to study higher order information of multivariate dataset for trajectory analysis. This paper will introduce a unified data structure which supports multivariate datasets for trajectory analysis and approaches to analyse information based on multivariate higher order information for making decisions related to emergency management. Interactive visualisation tools are implemented to facilitate the analysis. Tourism trajectory dataset is used to demonstrate the proposed approach.

Item ID: 47546
Item Type: Conference Item (Refereed Research Paper - E1)
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ISBN: 978-3-319-42007-3
Date Deposited: 07 Mar 2017 02:16
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
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