Citation Export
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hyo Kyun | - |
dc.contributor.author | Chung, Tae Sun | - |
dc.date.issued | 2020-12-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36562 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113362657&origin=inward | - |
dc.description.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. | - |
dc.description.sponsorship | 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). | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject.mesh | All nearest neighbors | - |
dc.subject.mesh | ANN algorithm | - |
dc.subject.mesh | Computing resource | - |
dc.subject.mesh | Data objects | - |
dc.subject.mesh | Query object | - |
dc.subject.mesh | Road network | - |
dc.title | All Nearest Neighbors Query including Scores Road Network | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2020.12.16. ~ 2020.12.18. | - |
dc.citation.conferenceName | 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 | - |
dc.citation.edition | Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 | - |
dc.citation.endPage | 1424 | - |
dc.citation.startPage | 1423 | - |
dc.citation.title | Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 | - |
dc.identifier.bibliographicCitation | Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, pp.1423-1424 | - |
dc.identifier.doi | 10.1109/csci51800.2020.00265 | - |
dc.identifier.scopusid | 2-s2.0-85113362657 | - |
dc.identifier.url | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9457837 | - |
dc.subject.keyword | ANN | - |
dc.subject.keyword | nearest neighbor | - |
dc.subject.keyword | road network | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Artificial Intelligence | - |
dc.subject.subarea | Computer Networks and Communications | - |
dc.subject.subarea | Safety, Risk, Reliability and Quality | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.