Top-k Skyline Groups Queries

نویسندگان

  • Haoyang Zhu
  • Peidong Zhu
  • Xiaoyong Li
  • Qiang Liu
چکیده

The top-k skyline groups query (k-SGQ) returns k skyline groups that dominate the maximum number of points in a given data set. It combines the advantages of skyline groups and top-k queries. The k-SGQ is an important tool for queries that need to analyze not only individual points but also groups of points, and can be widely used in areas such as decision support applications, market analysis and recommendation system. In this paper, we formally define this new problem and design an efficient algorithm to solve this problem. Extensive experimental results show that our algorithm is effective and efficiency.

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تاریخ انتشار 2017