estMax: Tracing maximal frequent itemsets over online data streams

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2007, Pages 709-714

  Woo, Ho Jin ^a   Lee, Won Suk ^a  

^a Yonsei University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; MINING; RIVERS; SEARCH ENGINES; TERMINOLOGY;

DATA SETS; DATA STREAMING; FREQUENT ITEMSETS; INTERNATIONAL CONFERENCES; ITEMSETS; MAXIMAL FREQUENT ITEMSETS; ON-LINE DATA; PREFIX TREES;

DATA MINING;

EID: 49749089668     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.70     Document Type: Conference Paper

References (6)

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3. J.H. Chang and W.S. Lee, "Finding Recent Frequent Itemsets Adaptively over Online Data Streams", In Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2003, pp. 487-492.
4. M. Garofalakis, J. Gehrke, and R. Rastogi, "Querying and Mining Data Streams: You Only Get One Look", In tutorial notes of the 28th International Conference on Very Large Data Bases, 2002.
5. Y. Chi, H. Wang, P.S. Yu, and R.R. Muntz, "Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window", In Proceedings of the 4th IEEE International Conference on Data Mining, 2004, pp. 59-66.
6. G. Mao, X. Wu, X. Zhu, and G. Chen, "Mining maximal frequent itemsets from data streams", Journal of Information Science, 2007.