• DocumentCode
    3353281
  • Title

    Multi-level Frequent Location Sequences Mining in RFID Database

  • Author

    Ding, Youwei ; Yang, Jun ; Hu, Kongfa ; Chen, Ling

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Yangzhou Univ., Yangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    28-30 Oct. 2009
  • Firstpage
    3
  • Lastpage
    7
  • Abstract
    RFID technology has been applied in more and more fields, such as supply chain management, product tracking and so on. Now many research focus on how to manage and analyze RFID data set. Since location information, which contains multiple conceptual levels, is an important part of RFID data set, mining multi-level location sequences assists the decision-making. Unfortunately, little attention has been paid to mining multi-level sequential patterns. In this paper, we propose a bitmap-based algorithm that efficiently discovers multi-level frequent location sequential patterns. Our algorithm scan the raw data set once to build the bitmap of the bottom level and generate the bitmap of higher level from the current one of lower level, rather than excessively scanning the raw data set multiple times to build the bitmaps of every level. Experimental results have shown that our new algorithm maintains its performance advantage across a broad spectrum of test environments.
  • Keywords
    data mining; radiofrequency identification; RFID database; bitmap-based algorithm; frequent location sequences mining; multilevel sequential patterns; radiofrequency identification; Computer science; Costs; Data analysis; Data engineering; Data mining; Databases; Decision making; Logistics; Radiofrequency identification; Supply chain management; RFID; multi-level location sequence; path sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering, 2009. WCSE '09. Second International Workshop on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-3881-5
  • Type

    conf

  • DOI
    10.1109/WCSE.2009.754
  • Filename
    5403366