1 |
L. Chen and Q. Mei, "Mining frequent items in data stream using time fading model," Information Sciences, 257(1), pp. 54-69, 2014. DOI: http://dx.doi.org/10.1016/j.ins.2013.09.007
DOI
|
2 |
B.-E. Shie, P.S. Yu, and V. S. Tseng, "Efficient algorithms for mining maximal high utility itemsets from data streams with different models," Expert Systems with Applications, 39(17), pp. 12947-12960, 2012. DOI: http://dx.doi.org/10.1016/j.eswa.2012.05.035
DOI
|
3 |
C. Zhang, F. Masseglia, and Y. Lechevallier, "The anti-bouncing data stream model for web usage streams," Information Sciences, 278(1), pp. 757-772, 2014. DOI: http://dx.doi.org/10.1016/j.ins.2014.03.089
DOI
|
4 |
T. Yoon and J.-H. Lee, "Adaptive web search based on user web log," Journal of the Korea Academia-Industrial cooperation Society, 15(11), pp. 6856-6862, 2014. DOI: http://dx.doi.org/10.5762/KAIS.2014.15.11.6856
DOI
|
5 |
J.-H. Chang, "Mining interesting sequential pattern with a time-interval constraint for efficient analyzing a web-click stream," Journal of the Korea Industrial Information Systems Research, 16(2), pp. 19-29, 2011. DOI: http://dx.doi.org/10.9723/jksiis.2011.16.2.019
DOI
|
6 |
H.-K. Lee, "A study on web-user clustering algorithm for web personalization," Journal of the Korea Academia-Industrial cooperation Society, 12(5), pp. 2375-2382, 2011. DOI: http://dx.doi.org/10.5762/KAIS.2011.12.5.2375
DOI
|
7 |
C.-W. Li and K.-F. Jea, "An adaptive approximation method to discover frequent itemsets over sliding-window-based data streams," Expert Systems with Applications, 38(10), pp. 13386-13404, 2011. DOI: http://dx.doi.org/10.1016/j.eswa.2011.04.167
DOI
|
8 |
H.-F. Li and S.-Y. Lee, "Mining frequent itemsets over data streams using efficient window sliding techniques," Expert Systems with Applications, 36(2), pp. 1466-1477, 2009. DOI: http://dx.doi.org/10.1016/j.eswa.2007.11.061
DOI
|
9 |
H. Chen, L.C. Shu, J. Xia, and Q. Deng, "Mining frequent patterns in a varying-size sliding window of online transactional data streams," Information Sciences, 215(1), pp. 15-36, 2012. DOI: http://dx.doi.org/10.1016/j.ins.2012.05.007
DOI
|
10 |
C.C. Aggarwal and P.S. Yu, "A framework for clustering uncertain data streams," in Proc. of the Int'l Conf. on Data Engineering, pp. 150-159, 2008. DOI: http://dx.doi.org/10.1109/icde.2008.4497423
DOI
|
11 |
J.H. Chang and W.S. Lee, "Finding Recently Frequent Itemsets Adaptively over Online Transactional Data Streams," Information Systems, 31(8), pp. 849-869, 2006. DOI: http://dx.doi.org/10.1016/j.is.2005.04.001
DOI
|
12 |
R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules," in Proc. of the 20thInternational Conf. on Very Large Data Bases, pp. 487-499, 1994.
|