›› 2013, Vol. 28 ›› Issue (4): 625-635.doi: 10.1007/s11390-013-1363-z

Special Issue: Data Management and Data Mining

• Special Section of EDB2012 • Previous Articles     Next Articles

Dominant Skyline Query Processing over Multiple Time Series

Hao Wang1,2,3 (汪浩), Chao-Kun Wang2,3,4,* (王朝坤), Member, CCF, ACM, IEEE, Ya-Jun Xu2,3,4 (徐亚军) and Yuan-Chi Ning2,3,4 (宁苑池)   

  1. 1. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;
    2. Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China;
    3. Key Laboratory for Information System Security, Ministry of Education, Beijing 100084, China;
    4. School of Software, Tsinghua University, Beijing 100084, China
  • Received:2012-09-20 Revised:2013-04-29 Online:2013-07-05 Published:2013-07-05
  • Supported by:

    This work was supported by the National Natural Science Foundation of China under Grant No. 61170064, the National High Technology Research and Development 863 Program of China under Grant No. 2013AA013204, and the Tsinghua National Laboratory for Information Science and Technology (TNLIST) Cross-Discipline Foundation.

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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