Mining Serial Episode Rules with Time Lags over Multiple Data Streams

Author(s):  
Tung-Ying Lee ◽  
En Tzu Wang ◽  
Arbee L. P. Chen
2018 ◽  
Vol 32 ◽  
pp. 617-626 ◽  
Author(s):  
Grzegorz Wielinski ◽  
Martin Trépanier ◽  
Catherine Morency ◽  
Khandker Nurul Habib

2015 ◽  
Vol 14 (9) ◽  
pp. 5171-5184 ◽  
Author(s):  
Liqun Fu ◽  
Mikael Johansson ◽  
Mats Bengtsson

2013 ◽  
Vol 462-463 ◽  
pp. 247-250
Author(s):  
Sa Li ◽  
Liang Shan Shao

Multiple data streams clustering aims to clustering multiple data streams according to their similarity while tracking their changes with time . This paper proposes M_SCCStream algorithm based on cloud model. Algorithm introduces data cloud node structure with hierarchical characteristics to represent different granularity data sequence and takes the entropy indicated the degree of data changes. Algorithm finds micro_clustering with the minimum distance and then obtains the clustering result of multiple data streams through calculating the correlation degrees of micro_clustering. The experiment proves that the algorithm has higher quality and stability.


2007 ◽  
Vol 26 (8) ◽  
pp. 1834-1856 ◽  
Author(s):  
Henry Rolka ◽  
Howard Burkom ◽  
Gregory F. Cooper ◽  
Martin Kulldorff ◽  
David Madigan ◽  
...  

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