An Algorithm for Mining Frequent Stream Data Items Using Hash Function and Fading Factor
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[1] Bill Lin,et al. Adaptive Frequency Counting over Bursty Data Streams , 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.
[2] Hongyan Liu,et al. Error-Adaptive and Time-Aware Maintenance of Frequency Counts over Data Streams , 2006, WAIM.
[3] Li Jian-Zhong,et al. An Efficient Algorithm for Mining Approximate Frequent Item over Data Streams , 2007 .
[4] Rajeev Motwani,et al. Approximate Frequency Counts over Data Streams , 2012, VLDB.
[5] Yong Guan,et al. Frequency Estimation over Sliding Windows , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[6] Toon Calders,et al. Mining Frequent Itemsets in a Stream , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[7] Ling Chen,et al. Frequent Items Mining on Data Stream Based on Time Fading Factor , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.
[8] Themis Palpanas,et al. Efficiently Discovering Recent Frequent Items in Data Streams , 2008, SSDBM.
[9] Ling Chen,et al. An Algorithm for Mining Frequent Items on Data Stream Using Fading Factor , 2009, 2009 33rd Annual IEEE International Computer Software and Applications Conference.
[10] Suh-Yin Lee,et al. Mining frequent itemsets over data streams using efficient window sliding techniques , 2009, Expert Syst. Appl..
[11] Won Suk Lee,et al. estMax: Tracing Maximal Frequent Item Sets Instantly over Online Transactional Data Streams , 2009, IEEE Transactions on Knowledge and Data Engineering.