dc.contributor.author | Outsios, Evagelos | |
dc.contributor.author | Evangelidis, Georgios | |
dc.date.accessioned | 2015-07-06T13:47:15Z | |
dc.date.available | 2015-07-06T13:47:15Z | |
dc.date.issued | 2011-09 | |
dc.identifier.other | http://history.icininfo.net/2011/FileStore/procs_INFO_2011.pdf | el |
dc.identifier.uri | http://apothesis.teicm.gr/xmlui/handle/123456789/1615 | |
dc.description | Η εισήγηση βρίσκεται στις σελίδες 30-33 | el |
dc.description.abstract | In this paper, we focus on the leaf level nodes of tree-like k-dimensional indexes that store the data entries, since those nodes represent the ajority of the nodes in the index. We propose a generic node splitting approach that defers splitting when possible and instead favors merging of a full node with an appropriate sibling and then re-splitting of the resulting node. Our experiments with the hB-tree, show that the proposed splitting approach achieves high average node storage utilization regardless of data distribution, data insertion patterns and dimensionality. | en |
dc.format.extent | 4 | el |
dc.language.iso | en | el |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Improving query efficiency in high dimensional point indexes | en |
dc.type | Άρθρο σε επιστημονικό συνέδριο | el |
dc.conference.information | Kos, September 29 -October 3, 2011 | el |
dc.conference.name | International Conference on Integrated Information (IC-ININFO 2011) | el |
dc.conference.publisher | Technological Educational Institute of Athens, Greece & University of Peloponnese, Greece | el |
dc.publication.category | Δημοσίευση ανοιχτής πρόσβασης | el |
dc.subject.keyword | K-dimensional point indexing | el |
dc.subject.keyword | Optimizing data node storage utilization | el |
dc.subject.keyword | Range query performance | el |
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