Abstract
We consider an application scenario where user want to find regions that have similar tendency about a certain issue, e.g., looking for regions that are neutral to new welfare policies. Motivated by this, we present a novel query to retrieve regions with similar tendency, named ρ-Dense Region Query (ρ-DR Query), that returns arbitrary shape of regions whose tendency satisfy the ρ-dense constraint. We design a basic algorithm to find all regions with similar spatial textual density that we define in this paper, and also propose an advanced algorithm that performs more efficiently. We conduct experiments to evaluate the performance of both algorithms, and the experiments prove the advanced algorithm is superior to the basic algorithm.
Original language | English |
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Title of host publication | Advances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018 |
Editors | James J. Park, Doo-Soon Park, Young-Sik Jeong, Yi Pan |
Publisher | Springer |
Pages | 42-47 |
Number of pages | 6 |
ISBN (Print) | 9789811393402 |
DOIs | |
Publication status | Published - 2020 |
Event | 10th International Conference on Computer Science and its Applications, CSA 2018 and the 13th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2018 - Kuala Lumpre, Malaysia Duration: 2018 Dec 17 → 2018 Dec 19 |
Publication series
Name | Lecture Notes in Electrical Engineering |
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Volume | 536 LNEE |
ISSN (Print) | 1876-1100 |
ISSN (Electronic) | 1876-1119 |
Conference
Conference | 10th International Conference on Computer Science and its Applications, CSA 2018 and the 13th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2018 |
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Country/Territory | Malaysia |
City | Kuala Lumpre |
Period | 18/12/17 → 18/12/19 |
Bibliographical note
Funding Information:Acknowledgments. This research was supported by the Korean MSIT(Ministry of Science and ICT), under the National Program for Excellence in SW(2015-0-00936) supervised by the IITP (Institute for Information & communications Technology Promotion).
Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
Keywords
- Geo-tagged data
- Region retrieval
- Spatial textual query
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering