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多时间序列上主导天际线的查询处理

Dominant Skyline Query Processing over Multiple Time Series

  • 摘要: 基于单时间序列的在多个维度描述物体的多时间序列(MTS)有着广阔的应用场景.本文给出了一种新的研究多时间序列的方法并给出了α/β-主导天际线多时间序列的形式化定义.同时,本文提出了3种解决α/β-主导天际线多时间序列查询处理的算法,分别叫做NL,BC,和MFB.最终,在合成数据和真实数据的实验结果表明本文提出的方法有效可靠.

     

    Abstract: Multiple time series (MTS), which describes an object in multi-dimensions, is based on single time series and has been proved to be useful. In this paper, a new analytical method called α/β-Dominant-Skyline on MTS and a formal definition of the α/β-dominant skyline MTS are given. Also, three algorithms, called NL, BC and MFB, are proposed to address the α/β-dominant skyline queries over MTS. Finally experimental results on both synthetic and real data verify the correctness and effectiveness of the proposed method and algorithms.

     

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