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Intelligent Systems in Modeling Phase of Information Mining Development Process Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Multivariate Higher Order Information for Emergency Management Based on Tourism Trajectory Datasets

Authors : Ye Wang, Kyungmi Lee, Ickjai Lee

Published in: Trends in Applied Knowledge-Based Systems and Data Science

Publisher: Springer International Publishing

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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.

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Metadata
Title
Multivariate Higher Order Information for Emergency Management Based on Tourism Trajectory Datasets
Authors
Ye Wang
Kyungmi Lee
Ickjai Lee
Copyright Year
2016
Book
Trends in Applied Knowledge-Based Systems and Data Science

Print ISBN: 978-3-319-42006-6

Electronic ISBN: 978-3-319-42007-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-42007-3_62

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