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Finding Probabilistic Nearest Neighbors for Query Objects with Imprecise Locations
http://hdl.handle.net/2237/12311
http://hdl.handle.net/2237/1231191054fd0-8755-4c8c-b94a-0d9c1a2a8fbb
名前 / ファイル | ライセンス | アクション |
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mdm.pdf (814.8 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2009-10-29 | |||||
タイトル | ||||||
タイトル | Finding Probabilistic Nearest Neighbors for Query Objects with Imprecise Locations | |||||
言語 | en | |||||
著者 |
Iijima, Yuichi
× Iijima, Yuichi× Ishikawa, Yoshiharu |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | Copyright © 2009 IEEE. Reprinted from Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on. 2009, p.52-61.<br/> This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. | |||||
抄録 | ||||||
内容記述 | A nearest neighbor query is an important notion inspatial databases and moving object databases. In the emergingapplication fields of moving object technologies, such as mobilesensors and mobile robotics, the location of an object is oftenimprecise due to noise and estimation errors. We proposetechniques for processing a nearest neighbor query when thelocation of the query object is specified by an imprecise Gaussiandistribution. First, we consider two query processing strategiesfor pruning candidate objects, which can reduce the numberof objects that require numerical integration for computing thequalification probabilities. In addition, we consider a hybridapproach that combines the two strategies. The performance ofthe proposed methods is evaluated using test data. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
言語 | en | |||||
出版者 | IEEE CS Press. | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1109/MDM.2009.16 | |||||
ISBN | ||||||
関連タイプ | isPartOf | |||||
識別子タイプ | ISBN | |||||
関連識別子 | 978-1-4244-4153-2 | |||||
書誌情報 |
en : Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on p. 52-61, 発行日 2009-05 |
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フォーマット | ||||||
application/pdf | ||||||
著者版フラグ | ||||||
値 | publisher | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/12311 | |||||
識別子タイプ | HDL | |||||
URI | ||||||
識別子 | http://dx.doi.org/10.1109/MDM.2009.16 | |||||
識別子タイプ | DOI |