Efficient Skyline Querying with Variable User Preferences on Nominal Attributes

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dc.creatorWong, Raymond Chi-Wing
dc.creatorFu, Ada Wai-chee
dc.creatorPei, Jian
dc.creatorHo, Yip Sing
dc.creatorWong, Tai
dc.creatorLiu, Yubao
dc.date2007-10-13
dc.date.accessioned2026-07-07T08:36:14Z
dc.date.available2026-07-07T08:36:14Z
dc.descriptionCurrent skyline evaluation techniques assume a fixed ordering on the attributes. However, dynamic preferences on nominal attributes are more realistic in known applications. In order to generate online response for any such preference issued by a user, we propose two methods of different characteristics. The first one is a semi-materialization method and the second is an adaptive SFS method. Finally, we conduct experiments to show the efficiency of our proposed algorithms.
dc.description10 pages
dc.identifierhttps://arxiv.org/abs/0710.2604
dc.identifierhttp://arxiv.org/abs/0710.2604
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/139994
dc.subjectDatabases
dc.titleEfficient Skyline Querying with Variable User Preferences on Nominal Attributes
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