Shape-based retrieval in time-series databases
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Sang-Wook | - |
dc.contributor.author | Yoon, Jeehee | - |
dc.contributor.author | Park, Sanghyun | - |
dc.contributor.author | Won, Jung-Im | - |
dc.date.accessioned | 2022-12-21T12:03:20Z | - |
dc.date.available | 2022-12-21T12:03:20Z | - |
dc.date.created | 2022-08-26 | - |
dc.date.issued | 2006-02 | - |
dc.identifier.issn | 0164-1212 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/181787 | - |
dc.description.abstract | The shape-based retrieval is defined as the operation that searches for the (sub)sequences whose shapes are similar to that of a query sequence regardless of their actual element values. In this paper, we propose a similarity model suitable for shape-based retrieval and present an indexing method for supporting the similarity model. The proposed similarity model enables to retrieve similar shapes accurately by providing the combination of multiple shape-preserving transformations such as normalization, moving average, and time warping. Our indexing method stores every distinct subsequence concisely into the disk-based suffix tree for efficient and adaptive query processing. We allow the user to dynamically choose a similarity model suitable for a given application. More specifically, we allow the user to determine the parameter p of the distance function L, when submitting a query. The result of extensive experiments revealed that our approach not only successfully finds the subsequences whose shapes are similar to a query shape but also significantly outperforms the sequential scan method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE INC | - |
dc.title | Shape-based retrieval in time-series databases | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1016/j.jss.2005.05.004 | - |
dc.identifier.scopusid | 2-s2.0-32544438481 | - |
dc.identifier.wosid | 000235818400005 | - |
dc.identifier.bibliographicCitation | JOURNAL OF SYSTEMS AND SOFTWARE, v.79, no.2, pp.191 - 203 | - |
dc.relation.isPartOf | JOURNAL OF SYSTEMS AND SOFTWARE | - |
dc.citation.title | JOURNAL OF SYSTEMS AND SOFTWARE | - |
dc.citation.volume | 79 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 191 | - |
dc.citation.endPage | 203 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.subject.keywordAuthor | similarity search | - |
dc.subject.keywordAuthor | shape-based retrieval | - |
dc.subject.keywordAuthor | time-series databases | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0164121205000993?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.