Mining Association Rules in Multidimensional Stream Data
The KIPS Transactions:PartD, Vol. 13, No. 6, pp. 765-774, Oct. 2006
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.765, PDF Download:
Keywords: StreAm Data, Stream Data Mining, Association Rule, Significant Rare Itemsets, Maximal Frequent Itemsets
Abstract
Statistics
Show / Hide Statistics
Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.
|
Cite this article
[IEEE Style]
K. Dae-In, P. Joon, K. Hong-Ki, H. Bu-Hyun, "Mining Association Rules in Multidimensional Stream Data," The KIPS Transactions:PartD, vol. 13, no. 6, pp. 765-774, 2006. DOI: http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.765.
[ACM Style]
Kim Dae-In, Park Joon, Kim Hong-Ki, and Hwang Bu-Hyun. 2006. Mining Association Rules in Multidimensional Stream Data. The KIPS Transactions:PartD, 13, 6, (2006), 765-774. DOI: http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.765.