Mining frequent itemsets in data streams using the weighted sliding window model

Pauray S. M. Tsai

doi:10.1016/j.eswa.2009.03.025

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JOURNAL ARTICLE

Mining frequent itemsets in data streams using the weighted sliding window model

Pauray S. M. Tsai

Year: 2009 Journal: Expert Systems with Applications Vol: 36 (9)Pages: 11617-11625 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2009.03.025

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Keywords:

Sliding window protocol Computer science Data mining Data stream mining Data stream Window (computing) Intrusion detection system Database transaction Process (computing) Database

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0.98

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Topics

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Mining frequent itemsets in data streams using the weighted sliding window model

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Citation History

Topics

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