Dominant Skyline Query Processing over Multiple Time Series

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.