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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/14991


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/14991


    Title: Online Mining Changes of Items over Continuous Append-only and Dynamic Data Streams
    Authors: Hua-Fu Li;李素瑛;沈錳坤
    Keywords: Data streams, change mining, single-pass algorithm.
    Date: 2005-08
    Issue Date: 2008-12-16 16:41:58 (UTC+8)
    Abstract: Online mining changes over data streams has been recognized to be an important
    task in data mining. Mining changes over data streams is both compelling and challenging. In
    this paper, we propose a new, single-pass algorithm, called MFC-append (Mining Frequency
    Changes of append-only data streams), for discovering the frequent frequency-changed items,
    vibrated frequency changed items, and stable frequency changed items over continuous
    append-only data streams. A new summary data structure, called Change-Sketch, is developed
    to compute the frequency changes between two continuous data streams as fast as possible.
    Moreover, a MFC-append-based algorithm, called MFC-dynamic (Mining Frequency Changes
    of dynamic data streams), is proposed to find the frequency changes over dynamic data streams.
    Theoretical analysis and experimental results show that our algorithms meet the major
    performance requirements, namely single-pass, bounded space requirement, and real-time
    computing, in mining data streams.
    Relation: Journal of Universal Computer Science, 11(8), 1411-1425
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

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