Parallel k-Dominant Skyline Queries over Uncertain Data Streams with Capability Index

Author(s):  
Xiaoyong Li ◽  
Jun Liu ◽  
Kaijun Ren ◽  
Xiaoling Li ◽  
Xiaoli Ren ◽  
...  
2013 ◽  
Vol 380-384 ◽  
pp. 2681-2686
Author(s):  
Yong Tao Yang ◽  
Yi Jie Wang ◽  
Min Guo ◽  
Xiao Yong Li

Reverse skyline is useful for supporting many applications, such as marketing decision,environmental monitoring. Since the uncertainty of data is inherent in many scenarios, there is a needfor processing probabilistic reverse skyline queries. In this paper, we study the problem of efficientlyprocessing these queries on uncertain data streams. We first show the formal definitions of reverseskyline probability and probabilistic reverse skyline. Then we propose a new algorithm called CPRSto maintain the most recent N uncertain data elements and to process continuous queries on them.CPRS is based on R-tree, and efficient pruning techniques, one of which is based on a new structurenamed Characteristic Rectangle, are incorporated into it to handling the extra computing complexityarising from the uncertainty of data. Finally, extensive experiments demonstrate that our techniquesare very efficient in handling uncertain data streams.


2012 ◽  
Vol 184 (1) ◽  
pp. 196-214 ◽  
Author(s):  
Xiaofeng Ding ◽  
Xiang Lian ◽  
Lei Chen ◽  
Hai Jin

2013 ◽  
Vol 25 (8) ◽  
pp. 1814-1829 ◽  
Author(s):  
Tao Chen ◽  
Lei Chen ◽  
M.Tamer Ozsu ◽  
Nong Xiao

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