淡江大學機構典藏:Item 987654321/78595
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 58017/91564 (63%)
造访人次 : 13716776      在线人数 : 49
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/78595


    题名: Incremental Mining of Closed Sequential Patterns in Multiple Data Streams
    作者: Yang, Shih-yang;Chao, Ching-ming;Chen, Po-zung;Sun, Chu-hao
    贡献者: 淡江大學資訊工程學系
    关键词: Multiple Data Streams;Data Stream Mining;Sequential Pattern Mining;Incremental Mining
    日期: 2011-05
    上传时间: 2012-10-17 10:53:34 (UTC+8)
    出版者: Oulu: Academy Publisher
    摘要: Sequential pattern mining searches for the relative sequence of events, allowing users to make predictions on discovered sequential patterns. Due to drastically advanced information technology over recent years, data have rapidly changed, growth in data amount has exploded and real-time demand is increasing, leading to the data stream environment. Data in this environment cannot be fully stored and ineptitude in traditional mining techniques has led to the emergence of data stream mining technology. Multiple data streams are a branch of the data stream environment. The MILE algorithm cannot preserve previously mined sequential patterns when new data are entered because of the concept of one-time fashion mining. To address this problem, we propose the ICspan algorithm to continue mining sequential patterns through an incremental approach and to acquire a more accurate mining result. In addition, due to the algorithm constraint in closed sequential patterns mining, the generation and records for sequential patterns will be reduced, leading to a decrease of memory usage and to an effective increase of execution efficiency.
    關聯: Journal of Networks 6(5), pp.728-735
    DOI: 10.4304/jnw.6.5.728-735
    显示于类别:[資訊工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML183检视/开启
    index.html0KbHTML191检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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