TY - GEN
T1 - The Retrieval of Regions with Similar Tendency in Geo-Tagged Dataset
AU - Lim, Taehyung
AU - Choi, Woosung
AU - Kim, Minseok
AU - Lee, Taemin
AU - Jung, Soonyoung
N1 - 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).
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Geo-tagged data
KW - Region retrieval
KW - Spatial textual query
UR - http://www.scopus.com/inward/record.url?scp=85076861311&partnerID=8YFLogxK
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U2 - 10.1007/978-981-13-9341-9_8
DO - 10.1007/978-981-13-9341-9_8
M3 - Conference contribution
AN - SCOPUS:85076861311
SN - 9789811393402
T3 - Lecture Notes in Electrical Engineering
SP - 42
EP - 47
BT - Advances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018
A2 - Park, James J.
A2 - Park, Doo-Soon
A2 - Jeong, Young-Sik
A2 - Pan, Yi
PB - Springer
T2 - 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
Y2 - 17 December 2018 through 19 December 2018
ER -