estWin: Online data stream mining of recent frequent itemsets by sliding window method

Knowledge embedded in a data stream is likely to be changed as time goes by. Identifying the recent change of the knowledge quickly can provide valuable information for the analysis of the data stream. However, most mining algorithms over a data stream are not able to extract the recent change of kn...

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Veröffentlicht in:	Journal of information science 2005-04, Vol.31 (2), p.76-90
Hauptverfasser:	Chang, Joong Hyuk, Lee, Won Suk
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Change Data elements Data mining Data streams Exact sciences and technology Information and communication sciences Information management Information retrieval systems Information retrieval systems. Information and document management system Information science. Documentation Methods Online data bases Online information retrieval Sciences and techniques of general use Sliding Window Method Studies
Online-Zugang:	Volltext
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