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題名 Online Mining Changes of Items over Continuous Append-only and Dynamic Data Streams 作者 Hua-Fu Li;李素瑛;沈錳坤 關鍵詞 Data streams, change mining, single-pass algorithm. 日期 2005-08 上傳時間 16-十二月-2008 16:41:58 (UTC+8) 摘要 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. 關聯 Journal of Universal Computer Science, 11(8), 1411-1425 資料類型 article dc.creator (作者) Hua-Fu Li;李素瑛;沈錳坤 en_US dc.date (日期) 2005-08 en_US dc.date.accessioned 16-十二月-2008 16:41:58 (UTC+8) - dc.date.available 16-十二月-2008 16:41:58 (UTC+8) - dc.date.issued (上傳時間) 16-十二月-2008 16:41:58 (UTC+8) - dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/14991 - dc.description.abstract (摘要) 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. en-US dc.format application/ en_US dc.format.extent 0 bytes - dc.format.mimetype application/octet-stream - dc.language en en_US dc.language en-US en_US dc.language.iso en_US - dc.relation (關聯) Journal of Universal Computer Science, 11(8), 1411-1425 en_US dc.subject (關鍵詞) Data streams, change mining, single-pass algorithm. en-US dc.title (題名) Online Mining Changes of Items over Continuous Append-only and Dynamic Data Streams en_US dc.type (資料類型) article en
