ASIA unversity:Item 310904400/10984
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 94286/110023 (86%)
造访人次 : 21693371      在线人数 : 812
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/10984


    题名: Query System for Keyword History via PubMed Literatures
    作者: Yi-Wei Liao
    贡献者: Department of Computer and Communication Engineering
    关键词: TermHistory;TextMining;Trend Analysis
    日期: 2010
    上传时间: 2010-11-10 03:43:13 (UTC+0)
    出版者: Asia University
    摘要: Search the Internet in the way of relevant documents， mostly input
    keywords to the search engine to query ， and then， according to the
    importance of search engine To show the relevant documents available
    to the user. Using this transfer System check mode， it is difficult
    to observe and keyword-related events Trend. However， most of the
    documents have TimeStamp， if we can use the TimeStamp of documents，
    We can observe the keyword to a different continuous time interval
    Number of occurrences， understanding and the keywords related
    events and trends. In this study， we use a technology of Inverted-Index
    like search engine to use， computing time for each word in each unit
    The number of occurrences， as the termhistory. On the other hand，
    the In a large number of documents dealing with the calculation and
    storage of facing the problem of We use the Divide and Conquer algorithm
    method， first a large number of original documents， according
    to the time divided into many smaller units of time (monthly) file，
    and then marge termhistory of small units into large units (annually)
    Order termhistory. In experiment， we use PubMed literature and will
    be a long time A lot of literature， the termhistory of keywords into
    the use of Can provide through the Google cloud computing the interface，
    Enter keywords used to query the historical series， converted into charts Presented in a way showed that the use of the historical
    sequence of keywords， We can observe the trend of events related to
    the change.
    显示于类别:[光電與通訊學系] 博碩士論文

    文件中的档案:

    档案 大小格式浏览次数
    0KbUnknown592检视/开启


    在ASIAIR中所有的数据项都受到原著作权保护.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈