• DocumentCode
    3245967
  • Title

    A survey and performance evaluation on sliding window for data stream

  • Author

    Wang Bao-Jun ; Ying, Zhan

  • Author_Institution
    Inst. of Inf. Technol., Zhejiang Inst. of Commun., Hang Zhou, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    654
  • Lastpage
    657
  • Abstract
    Sliding window technology for data streams is widely used to finish the data stream sampling. In this paper, rewritable circular sliding window, ring circular sliding window and sliding window based vector model are introduced. Experimental results show that rewritable circular sliding window is faster than sliding window based on vector model. But the speed advantage is slackening up, with the increasing of sliding window. Data stream sampling based on ring circular sliding window is the fastest. With the change of sliding window, the speed is smooth. Experimental results show that the data stream sampling model based on ring circular sliding window is proper for the migration and mining of data stream.
  • Keywords
    data handling; data mining; software performance evaluation; data stream migration; data stream mining; data stream sampling; performance evaluation; rewritable circular sliding window based vector model; ring circular sliding window based vector model; Analytical models; Data Stream; Performance Evaluation; Sliding Window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014977
  • Filename
    6014977