论文标题
权衡数据库中数据优化的技术
Weighing the techniques for data optimization in a database
论文作者
论文摘要
可以使用各种计算方法从大型数据库中获得一组首选记录，这些计算方法取决于基于数据库记录的属性，这些计算方法取决于优势或效用概念或得分函数。天际线方法依赖于不同数据点之间的优势关系来发现巨大数据库中有趣的数据。另一方面，排名查询利用特定的评分功能在数据库中对元组进行排名。数据集的实验评估可以为我们提供有关每种方法有效性的信息。
A set of preferred records can be obtained from a large database in a multi-criteria setting using various computational methods which either depend on the concept of dominance or on the concept of utility or scoring function based on the attributes of the database record. A skyline approach relies on the dominance relationship between different data points to discover interesting data from a huge database. On the other hand, ranking queries make use of specific scoring functions to rank tuples in a database. An experimental evaluation of datasets can provides us with information on the effectiveness of each of these methods.
