English  |  正體中文  |  简体中文  |  Post-Print筆數 : 11 |  Items with full text/Total items : 88657/118248 (75%)
Visitors : 23501095      Online Users : 212
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 理學院 > 心理學系 > 專書/專書篇章 >  Item 140.119/122239
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/122239


    Title: Mining Serial Episode Rules with Time Lags over Multiple Data Streams
    Authors: 陳良弼
    Lee, Tung-Ying
    Wang, En Tzu
    Contributors: 資訊科學系
    Date: 2008
    Issue Date: 2019-01-31 13:53:47 (UTC+8)
    Abstract: The problem of discovering episode rules from static databases has been studied for years due to its wide applications in prediction. In this paper, we make the first attempt to study a special episode rule, named serial episode rule with a time lag in an environment of multiple data streams. This rule can be widely used in different applications, such as traffic monitoring over multiple car passing streams in highways. Mining serial episode rules over the data stream environment is a challenge due to the high data arrival rates and the infinite length of the data streams. In this paper, we propose two methods considering different criteria on space utilization and precision to solve the problem by using a prefix tree to summarize the data streams and then traversing the prefix tree to generate the rules. A series of experiments on real data is performed to evaluate the two methods.
    Relation: International Conference on Data Warehousing and Knowledge Discovery
    DaWaK 2008: Data Warehousing and Knowledge Discovery pp 227-240
    Data Type: book/chapter
    DOI 連結: https://doi.org/10.1007/978-3-540-85836-2_22
    DOI: 10.1007/978-3-540-85836-2_22
    Appears in Collections:[心理學系] 專書/專書篇章

    Files in This Item:

    File Description SizeFormat
    85836-2_22.pdf440KbAdobe PDF73View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback