{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:29:07Z","timestamp":1781105347473,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004,7,1]]},"abstract":"<p>Many database applications require effective representation of regional objects in high-dimensional spaces. By applying an original query transformation, a recently proposed access method for regional data, called the simple QSF-tree (sQSF-tree), effectively attacks the limitations of traditional spatial access methods in spaces with many dimensions. Nevertheless, sQSF-trees are not immune to all problems associated with high data dimensionality. Based on the analysis of sQSF-trees, this paper presents a new variant of sQSF-trees, called the scalable QSF-tree (cQSF-tree), which relies on a heuristic optimization to reduce the number of false drops into pages that contain no object satisfying the query. By increasing the selectivity of search predicates, cQSF-trees improve the performance of multi-dimensional selections. Experimental evidence shows that cQSF-trees are more scalable than sQSF-trees to the growing data dimensionality. The performance improvements also increase with more skewed data distribution.<\/p>","DOI":"10.4018\/jdm.2004070103","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T14:14:08Z","timestamp":1297779248000},"page":"45-59","source":"Crossref","is-referenced-by-count":6,"title":["Scalable QSF-Trees"],"prefix":"10.4018","volume":"15","author":[{"given":"Ratko","family":"Orlandic","sequence":"first","affiliation":[{"name":"Illinois Institute of Technology, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byunggu","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Wyoming, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["Journal of Database Management"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=3315","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T21:00:43Z","timestamp":1654117243000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/jdm.2004070103"}},"subtitle":["Retrieving Regional Objects in High-Dimensional Spaces"],"short-title":[],"issued":{"date-parts":[[2004,7,1]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2004,7]]}},"URL":"https:\/\/doi.org\/10.4018\/jdm.2004070103","relation":{},"ISSN":["1063-8016","1533-8010"],"issn-type":[{"value":"1063-8016","type":"print"},{"value":"1533-8010","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004,7,1]]}}}