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All Nearest Neighbors Query including Scores Road Network
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Publication Year
2020-12-01
Journal
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, pp.1423-1424
Keyword
ANNnearest neighborroad network
Mesh Keyword
All nearest neighborsANN algorithmComputing resourceData objectsQuery objectRoad network
All Science Classification Codes (ASJC)
Artificial IntelligenceComputer Networks and CommunicationsSafety, Risk, Reliability and Quality
Abstract
This paper introduces an improved ANN (All Nearest Neighbor) algorithm using the SCL (Standard Clustered Loop) algorithm to reduce the consumption of computing resources that can occur when searching for the data object nearest to the query object in the process of executing the algorithm. Additionally, a method to improve ANN algorithm is proposed. When the algorithm is executed, it is a situation in which the user finds a data object adjacent to the user. In this case, our technique applies the criteria set provided by users.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36562
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113362657&origin=inward
DOI
https://doi.org/10.1109/csci51800.2020.00265
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9457837
Type
Conference
Funding
ACKNOWLEDGMENT This research was supported by the MIST(Ministry of Science and ICT), Korea, under the National Program for Excellence in SW supervised by the IITP (Institute for Information & communications Technology Promotion) (20150009080031001).
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Chung, Tae-Sun Image
Chung, Tae-Sun정태선
Department of Software and Computer Engineering
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