Skyline查询应用扩展及其优化算法

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Skyline查询处理是近年来信息管理和数据库交叉学科的一个研究重点和热点,其广泛应用于多标准决策支持系统、城市导航系统、数据挖掘和可视化以及信息推荐系统等领域,然而,在实际的联机查询应用中,skyline查询的结果具有固定和多用户共享特性,因此,随着时间的推进,查询结果的可选择性逐步降低,从而最终导致查询结果无法满足用户的需求.为此,提出k一quasi skyline查询,来丰富传统skyline查询的结果集,并与目前主流关系数据库产品无缝集成.为了提高任意维空间上k-quasi skyline查询的效
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