Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/96220
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Liao, B | en_US |
dc.creator | U, LH | en_US |
dc.creator | Yiu, ML | en_US |
dc.creator | Gong, Z | en_US |
dc.date.accessioned | 2022-11-14T04:06:58Z | - |
dc.date.available | 2022-11-14T04:06:58Z | - |
dc.identifier.issn | 1041-4347 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/96220 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication B. Liao, L. H. U, M. L. Yiu and Z. Gong, "Beyond Millisecond Latency $k$ NN Search on Commodity Machine," in IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 10, pp. 2618-2631, 1 Oct. 2015 is available at https://doi.org/10.1109/TKDE.2015.2426702. | en_US |
dc.subject | Nearest neighbor searches | en_US |
dc.subject | Overlay networks | en_US |
dc.subject | Spatial databases | en_US |
dc.title | Beyond millisecond latency kNN search on commodity machine | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2618 | en_US |
dc.identifier.epage | 2631 | en_US |
dc.identifier.volume | 27 | en_US |
dc.identifier.issue | 10 | en_US |
dc.identifier.doi | 10.1109/TKDE.2015.2426702 | en_US |
dcterms.abstract | The k nearest neighbor (k NN) search on road networks is an important function in web mapping services. These services are now dealing with rapidly arriving queries, that are issued by a massive amount of users. While overlay graph-based indices can answer shortest path queries efficiently, there have been no studies on utilizing such indices to answer k NN queries efficiently. In this paper, we fill this research gap and present two efficient k NN search solutions on overlay graph-based indices. Experimental results show that our solutions offer very low query latency (0.1 ms) and require only small index sizes, even for 10-million-node networks. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on knowledge and data engineering, 1 Oct. 2015, v. 27, no. 10, 2426702, p. 2618-2631 | en_US |
dcterms.isPartOf | IEEE transactions on knowledge and data engineering | en_US |
dcterms.issued | 2015-10-01 | - |
dc.identifier.scopus | 2-s2.0-84941367984 | - |
dc.identifier.eissn | 1558-2191 | en_US |
dc.identifier.artn | 2426702 | en_US |
dc.description.validate | 202211 bcww | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | RGC-B3-0792 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Beyond_Millisecond_Latency.pdf | Pre-Published version | 1.66 MB | Adobe PDF | View/Open |
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