Linked-tree: An aggregate query algorithm based on sliding window over data stream

2006 ◽  
Vol 11 (5) ◽  
pp. 1114-1119
Author(s):  
Yu Yaxin ◽  
Wang Guoren ◽  
Su Dong ◽  
Zhu Xinhua
Keyword(s):  
Data Stream ◽  
Sliding Window ◽  
Aggregate Query ◽  
Query Algorithm

scholarly journals Efficient Processing of ContinuousSkylineQuery over Smarter Traffic Data Stream for Cloud Computing

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Wang Hanning ◽  
Xu Weixiang ◽  
Jiulin Yang ◽  
Lili Wei ◽  
Jia Chaolong
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Data Stream ◽  
Sliding Window ◽  
Continuous Query ◽  
Traffic Data ◽  
Stream Data ◽  
Smart Transportation ◽  
Efficient Processing ◽  
Query Algorithm

The analyzing and processing of multisource real-time transportation data stream lay a foundation for the smart transportation's sensibility, interconnection, integration, and real-time decision making. Strong computing ability and valid mass data management mode provided by the cloud computing, is feasible for handlingSkylinecontinuous query in the mass distributed uncertain transportation data stream. In this paper, we gave architecture of layered smart transportation about data processing, and we formalized the description about continuous query over smart transportation dataSkyline. Besides, we proposedmMR-SUDSalgorithm (Skylinequery algorithm of uncertain transportation stream data based onmicro-batchinMap Reduce) based on sliding window division and architecture.

Mining top-k high-utility itemsets from a data stream under sliding window model

2017 ◽  
Vol 47 (4) ◽  
pp. 1240-1255 ◽  
Author(s):  
Siddharth Dawar ◽  
Veronica Sharma ◽  
Vikram Goyal
Keyword(s):  
Data Stream ◽  
Sliding Window ◽  
High Utility ◽  
High Utility Itemsets

Estimation of the Number of Distinct Values over Data Stream Based on Compound Sliding Window

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Yingli Zhong ◽  
Jinghua Zhu ◽  
Meirui Ren ◽  
Yan Yang
Keyword(s):  
Data Stream ◽  
Sliding Window
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