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    ASIA unversity > 資訊學院 > 會議論文 >  Item 310904400/7165


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/7165


    Title: A Hybrid Data Mining Approach for Analysis of Patient Behaviors in RFID Environments
    Authors: Vincent S. Tseng;Eric Hsueh-Chan Lu;Chia-Ming Tsai;and Chun-Hung Wang
    Contributors: Department of Computer Science and Information Engineering,National Cheng-Kung University;Institute for Information Industry
    Keywords: Data Mining;RFID;Association Pattern;Sequential Pattern;Patient Monitoring
    Date: 2007-12-20
    Issue Date: 2010-01-12 08:23:35 (UTC+0)
    Publisher: 亞洲大學資訊學院;中華電腦學會
    Abstract: med Hybrid Behavior Pattern Mine (HBP-Mine) for analysis of patient behaviors by mining the RFID movement log. We first discover more about the regular behavior models using data mining techniques, then calculating the variation between different periods of regular behavior model. A number of studies have been done on the variations of association rule and sequential pattern in the past few years. In our approach, we are not
    only based on the variations of these two behavior patterns, but also integrated the other three kind of new behavior patterns using the weighted method. Finally, we conducted a series of experiments to evaluate the rationality of the proposed hybrid method und
    Relation: 2007NCS全國計算機會議 12-20~21
    Appears in Collections:[資訊學院] 會議論文

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